Beschreibung

I help companies move from AI experiments to production systems that deliver real business impact.

What I deliver:

LLM & RAG Systems: Production-grade retrieval-augmented generation pipelines for internal knowledge bases, document processing, and customer-facing chatbots. Built with custom evaluation frameworks (RAGAS, DeepEval) to ensure quality at scale.
AI Agents & Automation: Domain-specific AI agents that handle complex workflows: payroll processing, onboarding, document analysis, and more. Designed with safe action frameworks so agents operate reliably in production.
AI Architecture & Strategy: End-to-end system design from data ingestion to deployment. I help teams choose the right models, infrastructure, and evaluation approach before writing a single line of code.
GenAI Product Development: Full lifecycle delivery of generative AI products, from prototyping to production deployment, including LLMOps, MLOps, monitoring, and continuous improvement.

My background: Masters in Data Science (University of Potsdam), 6+ years building software systems, with deep experience in RAG pipelines, LLM orchestration, agentic AI, and computer vision. I've delivered AI solutions across consulting, HR tech, and research, always focused on measurable outcomes, not demos.

Based in Berlin. Available for part-time consulting, project-based work, and technical advisory engagements.

Let's talk if you have an AI initiative that needs to move from idea to production.

Sprachen

Englisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Berlin (bis zu 50 km)

Remote People
Senior AI Engineer
PERSONALWESEN
April 2025 - Heute (1 Jahr und 4 Monate)
Berlin, Germany
● Lead AI team building scalable RAG pipelines powering internal and customer-facing chatbots across multiple product lines.
● Architect and deploy domain-specific AI agents (payroll, onboarding, leave management) to automate customer support and platform operations.
● Design safe agentic action frameworks enabling customers to trigger complex platform workflows directly via conversational AI. Shipped MCP servers.
● Lead AI adoption among the product and engineering team to increase performance using agentic coding setup.
AI Automation MCP Chatbot RAG artificial intelligence
Philipps & Byrne
AI Engineer
BERATUNG & AUDITS
Januar 2023 - Januar 2025 (2 Jahre)
Berlin, Germany
Designed and shipped multiple generative AI products (report generation, chatbots), reducing consultant workload by 50%+.
Built end-to-end RAG pipelines with custom evaluation metrics (RAGAS, DeepEval) including data parsing, vectorization, indexing, and retrieval.
Developed robust data ingestion workflows for unstructured documents using Azure Document Intelligence and custom parsers.
Conducted ML/data architecture due diligence for clients on scalability, model performance, and engineering practices.
Microsoft Azure artificial intelligence RAG AI Automation
Weizenbaum Institute,
Machine Learning Research Assistant
Dezember 2021 - September 2022 (9 Monate)
Berlin, Germany
• ● Built deep learning models for voice activity detection, laughter detection, and speaker diarization using NLP/audio techniques.
• ● Conducted audio analysis and eye-tracking studies on video interviews for academic research on participant behavior.