Cologne, Germany — Open to remote & on-site engagements
Cloud & AI
Solutions Engineer
Building intelligent systems with AWS, Generative AI, Python and FastAPI. Turning ideas into production-ready cloud architecture.
Menasse Gebregzi — Cologne, Germany
About
Building at the intersection of cloud infrastructure and AI.
Menasse Gebregzi is a Cloud & AI Solutions Engineer based in Cologne, Germany. With a background spanning creative technology, film production, and digital product development, he brings a systems-thinking mindset to every project — from API design to cloud deployment.
Currently focused on AWS cloud architecture and Generative AI integration, Menasse builds production-ready systems using Python, FastAPI, and Amazon Bedrock. His work ranges from intelligent chatbot APIs to full-stack SaaS products deployed on cloud infrastructure.
Pursuing AWS Certified AI Practitioner and AWS Certified Developer certifications. Every project is an opportunity to go deeper — understanding not just how to build, but why the architecture works the way it does.
2026
AWS certification journey started
Approach
Architecture First
Every system starts with a clear design. Infrastructure decisions are made deliberately, not by accident.
Ship & Learn
Production is the best teacher. Build fast, deploy early, iterate based on real feedback.
Full Stack Thinking
From Bedrock API to React frontend — understanding the whole system leads to better decisions at every layer.
Documentation
Code that isn't explained doesn't scale. Every project includes architecture diagrams and clear reasoning.
Approach
More than code.
Understanding.
Building.
Shipping.
Cloud and AI engineering is more than writing functions and deploying containers. It is about understanding what a system needs to do, why it needs to do it that way, and how every architectural decision affects reliability, cost, and maintainability. Every project starts with a clear question: what problem does this solve, and what is the simplest architecture that solves it well?
“The best architecture is the one you can explain to someone else.”
Projects
Built. Shipped. Learned.
Project 01 — Foundation
CompleteBedrock Chatbot — Single User
First direct integration with Amazon Bedrock. A command-line Python chatbot using boto3 and Nova Micro with persistent conversation history. The foundation for understanding how LLM APIs work and how context windows handle memory.
Python · boto3 · Amazon Bedrock · Nova Micro · eu-central-1
Architecture
Single process → boto3 client → Bedrock Runtime → Nova Micro. No server, no sessions, no concurrency.
What was learned
How the AWS SDK authenticates, how inference profiles work, why conversation history must be sent with every request, and how temperature affects output quality.
Project 02 — Production Step
CompleteBedrock Chatbot API — Multi User
Evolved the single-user chatbot into a production-ready REST API using FastAPI and uvicorn. Multiple users can maintain independent conversations simultaneously via session IDs. Exposed as HTTP endpoints with automatic OpenAPI documentation.
Python · FastAPI · uvicorn · boto3 · Amazon Bedrock · REST API · Session Management
Architecture
HTTP POST /chat → FastAPI router → session store (in-memory dict) → boto3 → Bedrock Runtime → JSON response. Each session_id maps to its own conversation_history list.
What was learned
How to wrap an LLM call in a web framework, how session isolation works, why stateless HTTP needs explicit state management, and how FastAPI's automatic /docs endpoint accelerates testing.
Design Decision
Chose FastAPI over Flask for async support, Pydantic validation, and automatic OpenAPI docs — all relevant for a production AI API.
More projects in development. Each one builds on the last.
Curriculum Vitae
Menasse Gebregzi
Cloud & AI Solutions Engineer — Cologne, Germany
Contact
Languages
Education & Certifications
AWS Generative AI Developer – Professional
In Progress · 2026
AWS Solutions Architect – Professional
Planned · 2027
AWS Certified DevOps Engineer – Professional
Planned · 2027
Media Design — IHK Certified (Chamber of Commerce)
Macromedia Academy Stuttgart, 2000 – 2002
Digital Film & Animation (Diploma)
SAE Institute Cologne, 2010 – 2011
Cloud Solutions
AI Solutions
Backend & Infrastructure
Frontend & Full Stack
Selected Projects
Stack
Tools built for production.
AWS Bedrock
Foundation Models as API. Integrating Claude, Nova, and Llama into production systems via boto3 and REST.
Python & FastAPI
Backend services that are fast, typed, and documented. REST APIs with async support and automatic OpenAPI docs.
Cloud Architecture
VPC, EC2, S3, IAM. Designing secure, scalable infrastructure on AWS with least-privilege access.
Generative AI
Prompt engineering, RAG systems, multi-user chat with session memory. Building AI that works in the real world.
Docker & Deploy
Containerized applications deployed via git-based workflows. Caddy reverse proxy, automated builds.
Next.js & React
Full-stack TypeScript applications. From API routes to responsive frontend — end to end.
System Design
Architecture diagrams, sequence diagrams, data flow. Communicating technical decisions clearly.
Always Learning
AWS certifications in progress. Daily hands-on practice. The AWS ecosystem is vast — curiosity drives the exploration.
AWS. Python. FastAPI. Bedrock. Production.
Experience
Engineering and building.
2026 – Present
Cloud & AI Solutions Engineer (Independent)
Building cloud-native applications and AI integrations. AWS Bedrock, FastAPI, Python. Pursuing AWS certifications.
2020 – Present
Full-Stack Developer & Digital Product Builder
Designed and built multiple SaaS products including eyedia.de (Next.js CMS), Atrium CRM (FastAPI + PostgreSQL), KitaDoc (Next.js). Deployed on Hetzner VPS with Docker and Caddy.
2005 – 2015
Film & Media Production
Documentary filmmaking and commercial video. Directed content for corporate clients. Built strong visual communication and storytelling skills.
2002 – 2004
Media Designer — Schönstein Kommunikationsdesign, Cologne
Interactive media development. Flash developer and Co-Director on industrial commercial film.
Certifications
AWS Certification Path
A focused path through the AWS certification ecosystem — from Generative AI to cloud architecture and DevOps.
AWS Generative AI Developer – Professional
Building production-grade GenAI applications on AWS. Amazon Bedrock, prompt engineering, RAG architectures, and responsible AI.
AWS Solutions Architect – Professional
Designing resilient, cost-efficient architectures. VPC, EC2, RDS, CloudFront, IAM, and high-availability patterns.
AWS Certified DevOps Engineer – Professional
Continuous delivery, automation, and monitoring on AWS. CodePipeline, CloudFormation, ECS, and operational excellence.
All certifications are pursued through hands-on project work, not just study materials.
Contact
Available for commercial photography and field research assignments across NRW / Germany.
I respond to all inquiries within 24 hours. For urgent assignments, feel free to call directly.