Projects · Open source · Community

Built in the open, used in client work.

What I publish, what I contribute to, and the AWS services behind it. Every project below feeds the workshops and reviews: the patterns are tested here before they reach a customer.

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AWS Community Hero
Open engineering reference
Workshop walkthroughs
Vienna

Open source

Projects you can read, fork and use.

ai-solutions.wikiPublic

An open engineering reference for teams building production AI on AWS: glossary, tool profiles, guides, comparisons, more than 100 industry use cases and architecture patterns, written in Hugo^[1]^[2]. It is where the use cases on this website link to.

Freelancer TemplatesPublic

A library of 85+ video templates built with Remotion^[11] and a Hugo showcase site, with an embeddable player and 50+ themes^[3]^[4].

AWS Community GameDay Europe stream templatesPublic

Remotion stream visuals and a web player for AWS Community GameDay Europe, a competitive cloud event across more than 50 AWS User Groups in 20+ countries. A template repository plus an event repository that deploys on every push^[5]^[6].

Once Upon Agentic AI, walkthrough and dashboardPublic fork

A fork of the AWS sample workshop with a dashboard for chapter 5, and a full walkthrough of all chapters with notes on current SDK versions^[7]^[8].

Freelancer AutomationPublic site

Workflow recipes and AI playbooks for independent consultants^[14].

Project in development

An AI video pipeline on AWS.

A config-driven pipeline that turns raw event footage into finished cuts for several channels, built on AWS AI and media services with an agent crew for editorial decisions. I presented it at AWS Community Day Athens 2026 and describe it in my blog^[10]. It will be published as open source; today it is available in customer projects, set up for each media workflow.

Five-step AI media pattern: ingest, analyse, decide, render, publish. — The five-step pattern behind it: ingest, analyse, decide, render, publish. Swap the services and the same shape fits podcasts, photo libraries, documents or logs.Source: Linda Mohamed, AI video pipeline architecture, 2026

Workshops I deliver

Walkthroughs of public labs.

I run public AWS and Red Hat labs end to end before I deliver them, and document where the steps have changed.

AWS workshop

Once Upon Agentic AI

Strands Agents, MCP and A2A on Amazon Bedrock. Level 300, eight chapters. Guided workshop →

Red Hat lab

OpenShift AI on AWS

Claims processing with Amazon Bedrock, RAG, computer vision and GitOps on ROSA^[9]. Guided lab →

Internal platform

Backstage on AWS App Runner

A developer portal^[12] on App Runner^[13] with account vending through AWS Organizations and IAM Identity Center. Demo on request.

Teaching and community

Where the patterns get tested in public.

Lecture

Von Managed zu Hybrid: KI-Architekturen

Master course at Hochschule Burgenland on AI architecture layers, hybrid routing and cost. The layer map →

Community

AWS User Group Vienna

Organiser for more than seven years, co-organiser of AWS Community Day DACH.

Stage

AWS Community Days 2026

Talks on agent identity and agents as a new layer 8 in Istanbul, a live multi-agent build in Athens.

Three reference projects placed on the six-layer map: video pipeline, event assistant and geospatial planning. — Three reference projects from the lecture, each on the layers its constraints required.Source: Linda Mohamed, lecture “Von Managed zu Hybrid: KI-Architekturen”, Hochschule Burgenland, 2026

AWS in my own code

The AWS services I actually use.

Counted across the repositories I work in, in September 2026: the number of source files that reference each service. A rough but honest signal of where the hands-on experience sits.

Service	Files	Used for
Amazon S3	298	Raw media, documents, model weights, pipeline state
Amazon Bedrock	119	Foundation models, briefs, analysis, agents
AWS Lambda	118	Pipeline steps and small services
Amazon Transcribe	76	Speech to text with custom vocabularies
Amazon Bedrock AgentCore	74	Running agent crews with memory
Amazon Rekognition	66	Label and scene detection in video
AWS Elemental MediaConvert	65	Transcoding into channel formats
Amazon CloudWatch	56	Logs, metrics, alarms
AWS Step Functions	52	Orchestrating parallel analysis workflows
Amazon Bedrock Data Automation	46	Structured output from media
Amazon DynamoDB, EventBridge, SQS, ECS/Fargate	18 to 30 each	State, scheduling, queues, containers
AWS Organizations, IAM Identity Center, App Runner	4 to 20 each	Account vending and the developer portal

Method: a text search for service names and SDK clients in each repository, excluding third-party code.

AWS services

The AWS services behind this work.

What these services do, in plain language, with links to the AWS documentation.

Amazon S3

Object storage for raw files, documents, training data and results.

Amazon Bedrock

Managed access to foundation models from several providers through one API. You choose the model and write the prompt; AWS runs the model.

AWS Lambda

Runs small pieces of code on demand without servers to manage. You pay per request and duration.

Amazon Transcribe

Speech to text with word timings, speaker labels and custom vocabularies.

Amazon Bedrock AgentCore

Runtime, memory, identity and tool gateway for AI agents built with any framework, such as Strands or CrewAI.

Amazon Rekognition

Detects objects, scenes, text and faces in images and video.

AWS Elemental MediaConvert

File-based video transcoding into the formats and aspect ratios each channel needs.

AWS Step Functions

Workflow engine that runs steps in order or in parallel, with retries and waits, and shows every run.

Amazon Bedrock Data Automation

Extracts structured output from documents, images, audio and video with one managed call.

Amazon CloudWatch

Logs, metrics and alarms. For AI systems: latency, errors and cost per call.

Amazon DynamoDB

Serverless key-value database for state, sessions and job records.

AWS Organizations

Groups AWS accounts, applies guardrail policies and consolidates billing.

AWS App Runner

Runs a container web app from an image with scaling and HTTPS handled by AWS.

Red Hat OpenShift Service on AWS (ROSA)

Managed OpenShift clusters in your AWS account. The base for running OpenShift AI next to other AWS services.

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.

Projects, open source and talks →

Sources

Where the facts come from.

Prices, service names and limits change. The linked official pages are the reference; figures on this page were checked in September 2026.

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