AI Systems Architect · LLM & MLOps Consultant — 10+ years engineering production systems, 5+ years specialised in AI/ML · GenAI · MLOps across 5 industries (Utilities · Manufacturing · E-mobility · Retail · B2B).
🇩🇪 Nearly 5 years living and working in Germany — Magdeburg · Hamburg · Düsseldorf (2019–2023, 2025–2026). MSc Digital Engineering, Otto-von-Guericke-Universität Magdeburg. EU Blue Card with fast-track re-issue, relocating back.
- 💰 $100K+/month saved via an LLM invoice-processing pipeline (Azure Document Intelligence → LLM → Snowflake)
- 📞 ~65% of inbound calls auto-resolved by voice AI agents (STT → LLM → TTS, tool-calling into order management)
- 🔁 7 production RAG chatbots and 5 MLOps forecasting pipelines — each family shipped from a single codebase
- 🎓 IEEE-published XAI research (IRTEX) · MSc Digital Engineering (Magdeburg, Germany)
| Tool | What it does | Distribution |
|---|---|---|
| autopilot-jobhunt |
Autonomous job-search agent: scans 130+ careers pages nightly, LLM-scores every role 0–100 against your full resume, drafts tailored applications. $0 API cost via 4-model fallback. | PyPI · MCP (Glama) · Docker · Raspberry Pi |
| inbox-to-action |
One-pass agentic inbox triage: classify, summarize, extract tasks, draft replies — never sends (enforced by test). BYOK across 6 LLM providers incl. fully-local Ollama. | PyPI · MCP server · Docker/GHCR |
| fable-mode |
Behavioural discipline layer for Claude Code: session hooks inject one always-on ruleset across Opus, Sonnet and Haiku. Five recurring LLM failure modes, five enforced rules, ~117 tokens. | Claude Code plugin marketplace |
| statusline-plus |
Model-agnostic Claude Code status line: a single jq pass per render instead of one per segment, 3 switchable themes, merge-safe settings.json patching. |
Claude Code plugin marketplace |
| content-machine | Autonomous content studio: 150 Python scripts, per-task LLM model routing, HyperFrames video pipeline, APScheduler auto-publishing — 200+ pieces/month across 7 platforms. | Self-hosted |
| MindMorph | Multi-agent adaptive learning platform: 14 specialised agents across 6 LangGraph workflows, mastery-gated progression, live in-browser code grading, RAG over uploaded PDFs. | Open source |
Python LangChain LangGraph CrewAI RAG MCP PyTorch AWS (Bedrock · SageMaker) Azure OpenAI Snowflake (Cortex · Snowpark) Kubernetes Terraform Docker FastAPI Kafka Airflow
✍️ 252 articles on Medium — the technical ones have drawn 500K+ lifetime views, led by Data Preprocessing in Python in Towards Data Science at 148K views ·



