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Use cases · Reference architectures

AI use cases, with the architecture drawn.

Three reference projects from my lecture on AI architectures, each on the layers its constraints required, and an index of 130 industry use cases and case patterns documented on ai-solutions.wiki.

  • 3 reference projects
  • 130 use cases
  • Architecture diagrams
  • Sources linked
Where they land

Three projects, three sets of constraints.

The same question each time: what forces this system onto which layer? The answers differ, and so do the architectures.

Layer map with the three reference projects: video pipeline, event assistant and geospatial planning, with their constraints.
Video for conferences on layers 1 and 2 with storage outside, an event assistant on layers 2 and 3, geospatial planning on layers 2 and 4 because sensitive files stay in the building. The six layers explained →Source: Linda Mohamed, lecture “Von Managed zu Hybrid: KI-Architekturen”, Hochschule Burgenland, 2026
Reference project 1

An event assistant on Amazon Bedrock AgentCore.

A community assistant that answers questions in a chat channel. A crew of agents runs on AgentCore Runtime[4] with one role per agent; a small model tuned with InstructLab[6] is served through Custom Model Import[5]. Constraint: customisation that one prompt could not deliver, with clear responsibility for every action.

Request flow from chat message through AgentCore Runtime, crew, model and tools back to the thread.
Request flow: from the chat channel through the crew, the model and the tools, back to the thread.Source: Linda Mohamed, lecture “Von Managed zu Hybrid: KI-Architekturen”, Hochschule Burgenland, 2026
Deployment of the event assistant: tuned model imported into Bedrock, crew in AgentCore Runtime with roles, secrets and logs.
Deployment: where the model is made, what runs in the AWS account, and where people ask.Source: Linda Mohamed, lecture “Von Managed zu Hybrid: KI-Architekturen”, Hochschule Burgenland, 2026
Reference project 2

Geospatial planning where half the data stays home.

An anonymised planning tool: people ask in plain language, public geodata is processed in the cloud, and private parcel and owner data is read by an agent inside the organisation. Only facts cross the boundary[9].

Tenant architecture: AWS account with public and private subnets, agents and PostGIS on RDS; the customer's building with an agent, internal PostGIS and survey data, connected by VPN.
One AWS account per tenant, agents in a private subnet, and an agent inside the customer's building connected one way.Source: Linda Mohamed, lecture “Von Managed zu Hybrid: KI-Architekturen”, Hochschule Burgenland, 2026
Query flow: a planner asks which parcels a route crosses; public data is split and queried in the cloud, the private half is answered inside the building; only an answer without owner names returns.
One question, split by data class: the cloud answers the public half, the building answers the private half.Source: Linda Mohamed, lecture “Von Managed zu Hybrid: KI-Architekturen”, Hochschule Burgenland, 2026
Reference project 3

An AI video pipeline for conference footage.

Hundreds of raw clips per event turned into finished cuts for several channels with AWS AI and media services and an agent crew for editorial decisions. Storage can stay on existing file shares through FSx for NetApp ONTAP with S3 access points[7][8]. More in my blog post[3]; available as a customer project.

Five steps: ingest, analyse, decide, render, publish.
Ingest, analyse, decide, render, publish. The pattern carries over to podcasts, photo libraries, documents and logs.Source: Linda Mohamed, AI video pipeline architecture, 2026
Use case index

130 use cases, filter by industry.

Every card opens a write-up on ai-solutions.wiki with architecture, AWS services and trade-offs[1]. Case patterns are composite scenarios: their numbers illustrate the pattern and are not client results[2].

Customer support

Building Enterprise AI Chatbots That Actually Help

Practical guidance for building customer-facing AI chatbots that deliver real value: architecture, knowledge base design, escalation patterns, and quality measurement.

Customer support

AI Knowledge Base Automation for Customer Support

Automated knowledge base creation, maintenance, and optimization using AI to keep support content accurate, comprehensive, and discoverable.

Customer support

AI Quality Monitoring for Customer Support

Automated quality assurance of customer support interactions using AI to evaluate agent performance, compliance, and service quality at scale.

Customer support

AI Self-Service Automation for Customer Support

Intelligent self-service systems using conversational AI, guided resolution flows, and automated actions to resolve customer issues without agent involvement.

Customer support

AI Sentiment Detection for Customer Support

Real-time sentiment analysis of customer interactions across channels to identify escalation risks, measure satisfaction, and guide agent responses.

Customer support

AI Ticket Routing and Classification

Automated support ticket classification, priority assignment, and intelligent routing to the right agent or team based on content analysis and historical patterns.

Education

AI Tutoring Systems - Personalized Study Plans and Feedback Loops

Adaptive AI tutoring that generates personalized study plans, creates targeted practice, delivers structured feedback, and tracks progress to adjust difficulty over time.

Education

AI-Powered Tutoring Systems

Adaptive AI tutoring that provides personalized instruction, real-time feedback, and mastery-based progression for students across subjects and levels.

Education

AI-Powered Automated Grading

Automated assessment scoring for essays, short answers, code submissions, and structured responses using NLP and machine learning.

Education

AI-Driven Curriculum Personalization

Adaptive curriculum systems that tailor learning content, pacing, and pathways to individual student needs using machine learning.

Education

AI Learning Path Optimization

Reinforcement learning and optimization algorithms that design individualized learning sequences to maximize knowledge acquisition and retention.

Education

AI-Enhanced Plagiarism Detection

Advanced plagiarism and AI-generated content detection using semantic analysis, stylometric profiling, and source matching.

Education

AI Student Analytics and Early Warning Systems

Predictive analytics for student success, at-risk identification, engagement monitoring, and intervention recommendations.

Energy

AI Carbon Tracking and Emissions Management

Automated carbon emissions measurement, reporting, and reduction optimization using AI for Scope 1, 2, and 3 emissions tracking across organizations.

Energy

AI Energy Consumption Forecasting

Machine learning models for electricity and gas demand forecasting at grid, regional, and building levels to optimize generation, distribution, and pricing.

Energy

AI for Power Grid Optimization

Load balancing, renewable energy integration, demand forecasting, and smart grid management with AI.

Energy

AI Outage Prediction and Grid Resilience

Predictive analytics for power grid outages using weather data, equipment condition, vegetation analysis, and historical failure patterns.

Energy

AI Predictive Maintenance for Energy Infrastructure

Sensor data analysis, failure prediction, maintenance scheduling, and cost optimization for energy infrastructure operators.

Energy

AI Renewable Energy Optimization

Optimizing renewable energy generation, storage, and grid integration using AI for output forecasting, curtailment reduction, and battery management.

Energy

AI Smart Metering Analytics

Advanced analytics for smart meter data including load profiling, theft detection, demand response optimization, and consumer engagement.

Finance

AI Anti-Money Laundering Detection

Machine learning-based AML systems that reduce false positives, detect complex laundering schemes, and automate suspicious activity investigations.

Finance

AI for Financial Compliance Automation

KYC/AML screening, transaction monitoring, regulatory reporting, and audit trail generation for financial services.

Finance

AI Credit Scoring and Lending Decisions

Machine learning credit risk models that improve default prediction accuracy, expand credit access, and comply with regulatory requirements for explainability.

Finance

AI Customer Onboarding for Financial Services

Automated KYC, identity verification, risk assessment, and account opening using AI to reduce onboarding time and compliance costs.

Finance

Intelligent Document Processing with AI

A practical architecture for extracting structured data from invoices, contracts, and forms: combining OCR, classification, and LLM-based extraction.

Finance

AI Fraud Detection for Financial Services

Real-time transaction scoring, anomaly detection, behavioral biometrics, and investigation prioritization for financial fraud prevention.

Finance

AI Portfolio Optimization and Asset Management

Machine learning-enhanced portfolio construction, risk management, and rebalancing using alternative data, factor models, and scenario analysis.

Finance

AI-Automated Regulatory Reporting for Financial Services

Automated generation, validation, and submission of regulatory reports using AI-driven data extraction, reconciliation, and quality assurance.

Geospatial

GIS and AI Architecture on AWS

How to combine geospatial data processing (GeoPandas, Shapely, satellite imagery) with AI services (Bedrock, OpenSearch) for natural language queries and spatial intelligence.

Geospatial

AI for Satellite Data and Geospatial Intelligence

Using multi-agent AI systems to query and analyze satellite imagery and geospatial data through natural language, with public data sources and AWS services.

Public sector

AI Benefits Eligibility Assessment

Automated eligibility determination and application processing for government benefits programs using document analysis and rule-based AI.

Public sector

AI Caseworker Assistant - Intake, Risk Flags, and Next Actions

An AI assistant that helps social services caseworkers process intake forms, surface risk signals, and identify appropriate next actions: reducing manual review time while keeping humans in control of all decisions.

Public sector

AI for Citizen Services - Modernizing Government Interactions

Chatbot-based citizen inquiries, form pre-filling, status tracking, and multilingual support for government agencies.

Public sector

AI for Environmental Monitoring and Compliance

Air and water quality monitoring, pollution detection, compliance reporting, and satellite-based environmental tracking with AI.

Public sector

AI for Housing Assistance - Intake and Waitlist Prioritization

Automated intake processing, eligibility scoring, and transparent waitlist prioritization for housing assistance programs.

Public sector

AI Infrastructure Monitoring for Government

AI-powered monitoring of public infrastructure: roads, bridges, utilities, and buildings: using sensor data, satellite imagery, and predictive analytics.

Public sector

AI Permit Processing for Government Agencies

Automated permit application review, compliance checking, and workflow management to reduce processing times and improve consistency.

Public sector

AI for Government Procurement - Vendor Comparison and Policy Compliance

Automated vendor proposal comparison against policy requirements, compliance checking, and procurement intake processing for government agencies.

Public sector

AI Public Safety Analytics

Predictive analytics for public safety including crime pattern analysis, resource allocation optimization, and emergency response planning.

Public sector

AI Tax Fraud Detection

Machine learning-based detection of tax fraud, evasion, and non-compliance using anomaly detection, network analysis, and cross-referencing of declarations.

Healthcare

AI-Optimized Appointment Scheduling for Healthcare

Intelligent scheduling that reduces no-shows, optimizes provider utilization, matches patient needs to appropriate resources, and manages waitlists dynamically.

Healthcare

AI for Clinical Data Analysis

Practical AI applications for clinical data analysis: extracting insights from unstructured clinical notes, supporting documentation, and enabling query across patient records at scale.

Healthcare

AI for Drug Discovery and Development

Machine learning-accelerated drug discovery including target identification, molecular design, toxicity prediction, and clinical trial optimization.

Healthcare

AI-Powered Remote Health Monitoring

Continuous patient monitoring using wearable devices, IoT sensors, and AI analytics for early deterioration detection, chronic disease management, and post-discharge care.

Healthcare

AI for Medical Imaging Analysis

Radiology assistance, pathology screening, imaging quality assessment, and clinical decision support using AI.

Healthcare

AI Patient Triage and Prioritization

Automated patient triage using symptom assessment, acuity scoring, and clinical decision support to optimize emergency and primary care resource allocation.

Healthcare

AI Radiology Decision Support

AI-powered radiology assistance for automated detection, measurement, and reporting of findings across imaging modalities including CT, MRI, and X-ray.

HR

AI Compensation Analytics and Pay Equity

Data-driven compensation analysis using AI for market benchmarking, pay equity assessment, and total rewards optimization.

HR

AI Employee Retention and Attrition Prediction

Predictive analytics for employee attrition risk, flight risk identification, and data-driven retention strategy development.

HR

AI Employee Onboarding Automation

Streamlined employee onboarding using AI for personalized orientation, automated provisioning, knowledge delivery, and early engagement monitoring.

HR

AI for Recruitment and Talent Screening

How AI assists recruitment teams with resume screening, candidate matching, and interview scheduling: with guidance on bias mitigation and compliance.

HR

AI Skills Assessment and Gap Analysis

Automated skills mapping, proficiency assessment, and gap analysis to align workforce capabilities with organizational needs.

HR

AI Workforce Planning and Demand Forecasting

Predictive workforce planning using AI to forecast headcount needs, model organizational scenarios, and optimize talent supply chains.

Insurance

AI Claims Assistant - From Intake to Payout Recommendation

An AI assistant that guides claims from first notice of loss through evidence gathering, missing information detection, fraud screening, and payout recommendation: with human adjuster sign-off at every decision gate.

Insurance

AI for Insurance Claims Processing

Automated claims intake, fraud detection, and document extraction for insurance operations: from first notice of loss to payment authorization.

Insurance

AI Customer Onboarding for Insurance

Streamlined insurance customer onboarding using AI for identity verification, needs assessment, product recommendation, and application processing.

Insurance

AI Fraud Detection for Insurance

Claims fraud detection using anomaly detection, network analysis, image forensics, and behavioral patterns to reduce fraud losses and false positives.

Insurance

AI Policy Document Processing for Insurance

Automated extraction, classification, and analysis of insurance policy documents, endorsements, and regulatory filings using NLP and document AI.

Insurance

AI Risk Assessment for Insurance

Advanced risk modeling using alternative data, telematics, IoT sensors, and machine learning to improve loss prediction and portfolio management.

Insurance

AI Underwriting Automation for Insurance

Automated risk assessment, pricing, and policy issuance using machine learning models that process applications, medical records, and external data sources.

Legal

AI Case Outcome Prediction

Machine learning models that predict litigation outcomes, settlement ranges, and case duration to inform legal strategy and resource allocation.

Legal

AI Compliance Monitoring for Legal and Regulatory Requirements

Continuous regulatory compliance monitoring, change detection, and impact assessment using AI-driven analysis of legal and regulatory sources.

Legal

AI Contract Analysis and Review

Automated contract review, clause extraction, risk identification, and obligation tracking using NLP and large language models.

Legal

AI-Assisted Document Review for Litigation

Technology-assisted review (TAR) and AI-driven document classification for large-scale litigation document review and privilege identification.

Legal

AI-Powered E-Discovery

End-to-end electronic discovery automation using AI for data collection, processing, analysis, review, and production in litigation and investigations.

Legal

AI-Powered Legal Research Automation

Automated case law research, statute analysis, and precedent identification using semantic search and large language models.

Legal

AI for Public Defenders - Case Intake and Summary Generation

Automated case intake, document summarization, precedent research, and timeline generation for public defender offices handling high caseloads.

Logistics

AI Demand Planning for Logistics

Logistics-focused demand planning that forecasts shipment volumes, capacity requirements, and resource needs across the distribution network.

Logistics

AI Fleet Management and Optimization

Intelligent fleet operations using telematics data, predictive analytics, and optimization for vehicle utilization, maintenance, driver performance, and fuel efficiency.

Logistics

AI Last-Mile Delivery Optimization

Optimizing the final delivery leg using AI for address validation, delivery time prediction, failed delivery reduction, and delivery density planning.

Logistics

AI Route Optimization for Logistics

Dynamic route planning and optimization using machine learning to minimize delivery costs, reduce fuel consumption, and improve on-time performance.

Logistics

AI for Supply Chain Optimization

AI applications in supply chain: demand forecasting, inventory optimization, route planning, and disruption detection: with practical architecture guidance.

Logistics

AI Warehouse Automation and Optimization

AI-driven warehouse operations including slotting optimization, pick path planning, demand-based labor scheduling, and robotic coordination.

Manufacturing

AI Visual Defect Detection for Manufacturing

Computer vision-based quality inspection that detects surface defects, dimensional deviations, and assembly errors at production line speed.

Manufacturing

AI-Powered Digital Twins for Manufacturing

Virtual replicas of manufacturing systems that use AI and real-time data to simulate, predict, and optimize production processes.

Manufacturing

AI Predictive Maintenance for Manufacturing

Sensor-driven predictive maintenance using machine learning to forecast equipment failures, optimize maintenance schedules, and reduce unplanned downtime.

Manufacturing

AI Production Scheduling and Planning

Intelligent production scheduling that optimizes resource allocation, minimizes changeover times, and adapts to demand changes and disruptions in real time.

Manufacturing

AI Quality Control in Manufacturing

How computer vision AI enables automated visual inspection in manufacturing: detecting defects, reducing false positives, and integrating with production lines.

Manufacturing

AI Supply Chain Optimization for Manufacturing

End-to-end supply chain optimization using AI for demand sensing, supplier risk management, inventory positioning, and logistics coordination.

Media

AI-Powered Accessibility for Broadcasters and Media

Automated subtitle generation, audio descriptions, sign language overlay detection, and WCAG compliance checking for broadcast and media organizations.

Media

AI Ad Targeting and Optimization for Media

Machine learning-driven advertising targeting, bid optimization, and creative selection that maximizes revenue while maintaining audience trust.

Media

AI Transcription with Accurate Speaker Attribution

How to achieve production-quality multi-speaker transcription with speaker diarization, using AWS Transcribe and Bedrock post-processing.

Media

AI Video Editing Automation for Broadcasters

How AI automates the most time-consuming parts of broadcast video editing: rough cuts, highlight generation, and scene detection: at scale.

Media

AI Audio Analysis - Multi-Track Selection and Quality Enhancement

Automated best-mic selection from multi-track recordings, noise reduction, speaker isolation, and quality scoring for film and broadcast.

Media

Automated Content Metadata and Tagging with AI

Auto-tagging video and audio content, scene classification, topic extraction, and SEO metadata generation for media libraries.

Media

AI Content Moderation for Media Platforms

Automated moderation of user-generated content using computer vision, NLP, and policy-aware classification to maintain platform safety and regulatory compliance.

Media

AI Content Recommendation for Media

Personalized content recommendation systems for publishers, streaming platforms, and news organizations using collaborative filtering and contextual signals.

Media

Hybrid Cloud AI Video Pipeline with Amazon FSx for NetApp ONTAP

How to build an AI video processing pipeline that spans on-premises storage and AWS cloud using FSx for NetApp ONTAP as a hybrid bridge, with Rekognition, Transcribe, and Bedrock for AI analysis.

Media

AI Live Captioning and Real-Time Translation

Automated live captioning for broadcasts, events, and meetings using speech recognition, with real-time translation for multilingual audiences.

Media

AI Sentiment Analysis for Media and Brand Monitoring

Real-time sentiment analysis of social media, news, and audience feedback using NLP to track brand perception, audience reaction, and content impact.

Media

Building an AI Video Pipeline on AWS

Architecture guide for an end-to-end AI video pipeline: S3 ingest, Lambda trigger, Rekognition analysis, Bedrock processing, FFmpeg editing, and Step Functions orchestration.

Real estate

AI Document Automation for Real Estate

Automated generation, review, and processing of real estate documents including leases, purchase agreements, and property disclosures.

Real estate

AI Lead Scoring for Real Estate

Predictive lead scoring that prioritizes buyer and seller prospects based on behavioral signals, demographics, and market timing indicators.

Real estate

AI Real Estate Market Analysis

Market trend prediction, investment opportunity identification, and neighborhood analytics using machine learning and alternative data sources.

Real estate

AI Property Valuation and Automated Valuation Models

Machine learning-based property valuation using comparable sales analysis, property features, market trends, and geospatial data.

Real estate

AI Tenant Screening and Risk Assessment

Automated tenant evaluation using credit analysis, income verification, rental history assessment, and risk prediction for property managers.

Real estate

AI Tenant Support - Repairs, Scheduling, and Vendor Coordination

Automated repair request intake, vendor scheduling, and tenant communication for property management operations.

Real estate

AI Virtual Staging for Real Estate

Computer vision-powered virtual staging that furnishes empty properties in listing photos, reducing physical staging costs and accelerating time to market.

Retail

AI Customer Segmentation for Retail

Data-driven customer segmentation using clustering algorithms and behavioral analysis for targeted marketing, personalization, and lifecycle management.

Retail

AI Demand Forecasting for Retail

Machine learning-based demand forecasting that accounts for seasonality, promotions, external factors, and long-tail product behavior.

Retail

AI-Powered Inventory Management

Intelligent inventory allocation, replenishment optimization, and multi-echelon inventory planning using machine learning.

Retail

AI for Marketplace Dispute Resolution

Automated buyer and seller dispute triage, evidence review, and fair resolution proposals for marketplace platforms.

Retail

AI Price Optimization for Retail

Dynamic pricing and markdown optimization using demand elasticity models, competitive intelligence, and reinforcement learning.

Retail

AI Recommendation Engines for Retail

Personalized product recommendations using collaborative filtering, content-based models, and real-time behavioral signals to increase conversion and basket size.

Retail

AI Visual Search for Retail

Image-based product search and discovery using computer vision, enabling customers to find products by uploading photos or screenshots.

Case pattern

Multi-Track Audio Analysis for Film Production

Architecture for an AI system that processes multi-track audio from film production, identifying issues, categorizing content, and generating post-production notes.

Case pattern

AI Broadcast Content Automation for a Media Company

Architecture and lessons from automating content metadata generation, highlight detection, and compliance checking for a broadcast media company.

Case pattern

AI Chatbot for Customer Service at a Telecom Provider

Architecture and lessons from deploying a production AI chatbot handling 60% of customer service inquiries for a regional telecom company.

Case pattern

AI Claims Processing Automation for an Insurance Company

Architecture and lessons from automating insurance claims intake, assessment, and routing using AI, reducing processing time from days to hours.

Case pattern

AI Compliance Monitoring for a Financial Institution

Architecture and lessons from deploying AI to monitor communications, transactions, and activities for regulatory compliance across a financial institution.

Case pattern

Automated Content Generation for a News Agency

How a news agency automated structured report generation from data feeds: producing hundreds of articles per day from financial, sports, and weather data sources.

Case pattern

AI Document Processing for a Financial Services Firm

Architecture and lessons from building a production document processing pipeline that extracts, validates, and routes financial documents across multiple formats and regulatory requirements.

Case pattern

AI-Personalized Learning for an Education Technology Platform

Architecture and lessons from building an AI system that personalizes learning paths, content difficulty, and practice exercises for K-12 students.

Case pattern

AI Energy Grid Monitoring for a Utility Company

Architecture and lessons from deploying AI to monitor power grid health, predict outages, and optimize maintenance scheduling across a regional utility network.

Case pattern

AI Environmental Monitoring for a Government Agency

Architecture and lessons from deploying AI to monitor environmental conditions, detect violations, and prioritize inspections for a state environmental protection agency.

Case pattern

AI Fleet Management for a Delivery Logistics Company

Architecture and lessons from deploying AI to optimize fleet operations, including vehicle assignment, driver scheduling, and predictive maintenance across 500 vehicles.

Case pattern

AI Fraud Detection for a Regional Bank

Architecture and lessons from deploying a real-time AI fraud detection system processing 2 million transactions daily for a regional banking institution.

Case pattern

Building a Geospatial AI Platform from Public Data

How a team built a geospatial intelligence platform combining satellite imagery, public datasets, and AI analysis to generate location-based insights at scale.

Case pattern

AI Permit Application Digitization for a Government Agency

Architecture and lessons from digitizing and automating the processing of building permit applications for a municipal government.

Case pattern

Insurance Claims Modernization with AI

Architecture and lessons from modernizing an insurance claims processing workflow using AI for document extraction, fraud detection, and automated adjudication.

Case pattern

AI-Assisted Legal Document Review for a Law Firm

Architecture and lessons from deploying AI to accelerate document review in litigation, reducing review time by 65% while maintaining quality standards.

Case pattern

AI Medical Records Processing for a Healthcare Network

Architecture and lessons from building an AI system that extracts, normalizes, and routes clinical information from unstructured medical records.

Case pattern

Predictive Maintenance AI for a Manufacturing Plant

Architecture and lessons from deploying AI-driven predictive maintenance across 200+ machines in a continuous manufacturing operation.

Case pattern

AI Real Estate Valuation for a Property Technology Company

Architecture and lessons from building an AI-powered automated valuation model that estimates property values using multiple data sources and market signals.

Case pattern

AI Recommendation Engine for an Online Retailer

Architecture and lessons from building a production recommendation system serving personalized product suggestions to 5 million monthly active users.

Case pattern

AI Recruitment Screening for a Large Enterprise HR Department

Architecture and lessons from deploying AI-assisted candidate screening across 500+ open positions annually, improving time-to-shortlist while addressing bias concerns.

Case pattern

AI Satellite Image Analysis for a Geospatial Intelligence Firm

Architecture and lessons from building an AI pipeline that processes satellite imagery at scale for change detection, object identification, and environmental monitoring.

Case pattern

AI Supply Chain Optimization for a Logistics Company

Architecture and lessons from deploying AI-driven demand forecasting and route optimization across a national distribution network.

Case pattern

AI Video Processing Pipeline for a National Broadcaster

Architecture and lessons from building a production AI pipeline that processes, indexes, and makes searchable a large library of broadcast video content.

Case pattern

AI Warehouse Optimization for a Distribution Company

Architecture and lessons from deploying AI to optimize warehouse layout, picking routes, and labor allocation in a high-volume distribution center.

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Linda Mohamed, AWS Community Hero, AI and cloud architect in Vienna
Who runs it

Linda Mohamed

AWS Community HeroAWS User Group Vienna organiserLecturer, Hochschule BurgenlandAmazon Bedrock · SageMaker AI · OpenShift AIEN & DE

I design and build AI and cloud systems on AWS and hybrid platforms, and I teach how they work. I have organised the AWS User Group Vienna for more than seven years, co-organise AWS Community Day DACH, teach AI architectures at Hochschule Burgenland, speak at conferences in Europe and the US, and maintain ai-solutions.wiki. Based in Vienna. Remote or on-site, in English or German.

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