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janMagnusHeimann/README.md

๐Ÿš€ Jan Magnus Heimann | AI/ML Engineer & Research Scientist

Website LinkedIn X Email

Building the future of AI-driven systems | 6+ years of production ML experience | $1.5M+ in proven cost savings


๐ŸŽฏ About Me

I'm a visionary AI/ML Leader and Solution Architect with expertise in Large Language Models, Multi-Agent Systems, and MLOps at enterprise scale. From revolutionizing aerospace with AI optimizations to architecting autonomous agents for procurement, I've led cross-functional teams to deliver breakthrough innovations that drive multi-million-dollar efficiencies and reshape industries. Passionate about building the future of AI, I thrive in high-growth startups and big tech environments, turning ambitious ideas into scalable realities.

Current Focus: AI architecture at askLio (YC23), engineering the world's first multi-agent system for procurement to automate complex workflows and unlock unprecedented efficiency.


๐Ÿ† Key Achievements

  • Pioneered $1.5M cost reduction in rocket manufacturing via AI-driven optimizations, setting new industry benchmarks
  • Boosted material science predictions by 9.2% with cutting-edge GNNs, accelerating R&D cycles
  • Reduced experimental efforts by 15% through innovative ML architectures, published at NeurIPS
  • Garnered 200+ GitHub stars for open-source tools adopted by enterprises worldwide
  • Led 20% efficiency gains in multi-million euro ad budgets using RL + LLM hybrids

๐Ÿ”ฌ Featured Repositories

๐Ÿ—๏ธ Architecture & Testing

ArchUnit-TS โญ

TypeScript architecture testing framework inspired by Java ArchUnit

  • 200+ stars | Enforces architectural rules and dependency constraints
  • Impact: Adopted by enterprises for maintaining clean code architecture

๐Ÿš€ Aerospace & Optimization

EnginBERT โญ

Domain-specific BERT for engineering literature

  • Tech: PyTorch, Transformers, Custom Tokenization
  • Impact: Specialized NLP model for technical documentation

Rocket Optimizer โญ

AI-driven rocket design optimization

  • Impact: $1.5M cost reduction, 15% improved payload/cost ratio
  • Tech: GNNs, Neo4j, trajectory optimization algorithms

๐Ÿ’ผ Professional Experience

๐Ÿ› ๏ธ Solution Architect | askLio (YC23) | Oct 2025 - Present

  • Architecting the world's first multi-agent system for procurement, automating end-to-end workflows for global enterprises
  • Leading AI strategy to integrate LLMs and RL for intelligent decision-making, targeting 50%+ efficiency gains in supply chain operations
  • Collaborating with YC-backed teams to scale innovative AI solutions from prototype to production, driving startup growth

๐Ÿค– Freelance Senior AI Architect and Project Manager | Lemonflow AI | Aug 2025 - Oct 2025

  • Built AI-powered support solutions improving voice chatbot latency by 30% and onboarding time by 70%
  • Led scalable AI infrastructure serving thousands of interactions for enterprise clients
  • Developed autonomous prompt agent boosting satisfaction by 34% and reducing escalations by 45%

๐ŸŽฏ Freelance AI Engineer | DRWN AI | Apr 2025 - Oct 2025

  • Architecting RL models with LLM-driven analytics for multi-million euro ad budgets
  • Engineered autonomous AI agents for real-time data synthesis and campaign optimization
  • Delivered 20% efficiency improvement in ad spend with 15% ROI increase

๐Ÿ”ฌ ML Research Scientist | MIT | May 2024 - Dec 2024

  • Advanced GNN development achieving 9.2% accuracy improvement in material predictions
  • Multi-task transformer architectures with 4.7% representation accuracy gains
  • Published at NeurIPS 2024 - cutting experimental effort by 15%

๐Ÿ“š Machine Learning Engineer/Advisor (Part-time) | Deepmask GmbH | Oct 2024 - Mar 2025

  • Fine-tuned 70B LLM (DeepSeek R1) with LoRA achieving +4% BLEU and +6% ROUGE-L on benchmarks
  • Implemented production RAG system with 92% retrieval accuracy on 100K+ documents
  • Optimized inference strategies for 3x throughput and comprehensive evaluation frameworks

๐Ÿš€ ML Engineer | Rocket Factory Augsburg | Mar 2024 - Mar 2025

  • Led team of 3 reporting directly to COO on AI-driven rocket optimization
  • Architected Neo4j graph database for GNN-based design generation (5000+ configurations)
  • Delivered $1.5M cost reduction through AI-optimized materials and structures

๐Ÿ›ฐ๏ธ Software Engineer | OHB Systems AG | Jan 2023 - Mar 2024

  • Automated FEM analysis pipeline using Gaussian Processes, reducing cycle time by 25%
  • Developed LSTM anomaly detection for satellite data with interpretable attention mechanisms

๐Ÿ’ฐ Co-Founder/Software Lead | GetMoBie GmbH | Jan 2021 - Dec 2022

  • Led mobile banking app development serving 20K+ users, presented at "Die Hรถhle der Lรถwen"
  • Implemented ML models for transaction categorization and fraud detection on 1M+ records
  • Managed 10-developer team establishing real-time inference pipelines

๐Ÿš— Machine Learning Engineer Intern | BMW AG | Aug 2020 - May 2021

  • Built job recommendation system facilitating 100+ internal transitions via collaborative filtering
  • Implemented document classification achieving 89% F1-score on 50K documents

๐Ÿ“Š Technical Arsenal

๐Ÿง  AI/ML Expertise

# LLM & GenAI
- Frameworks: LangChain, Hugging Face (Transformers, PEFT), OpenAI API
- Fine-tuning: QLoRA, Distillation, RAG Systems
- Vector DBs: ChromaDB, Qdrant, Neo4j
- Agentic Systems: Multi-agent frameworks, autonomous decision-making

# Core ML
- Deep Learning: PyTorch, TensorFlow, Advanced architectures
- Specialized: GNNs, Reinforcement Learning, Multi-task learning
- Optimization: Model compression, quantization, ONNX, TensorRT

โš™๏ธ MLOps & Infrastructure

# MLOps Pipeline
- Orchestration: ZenML, Airflow, Kubeflow
- Tracking: MLflow, W&B, CometML
- Cloud: AWS SageMaker, Azure ML, GCP Vertex AI

# DevOps
- Containers: Docker, Kubernetes
- Cloud: AWS, Azure, GCP (multi-cloud expertise)
- Monitoring: Prometheus, advanced observability

๐Ÿ“ˆ Impact Metrics

Metric Achievement Context
Cost Savings $1.5M+ Rocket manufacturing optimization
Efficiency Gains 20% Ad budget optimization systems
Accuracy Improvements 9.2% Material science predictions
Time Reduction 60% Research automation workflows
GitHub Stars 200+ Open-source architecture tools

๐Ÿ“š Publications & Research

๐ŸŽ“ Peer-Reviewed Publications

"Reaction Graph Networks for Inorganic Synthesis Condition Prediction"

  • NeurIPS 2024 | 15% reduction in experimental effort
  • Novel GNN architecture for materials science applications

"Aerospace-Specific LLM for Enhanced Research Summarization"

  • 60% computational cost reduction
  • Domain-specialized language models for technical literature

๐ŸŽฏ What I'm Building Next

๐Ÿ”ฎ Current Projects

  • World-Leading Multi-Agent Systems: Revolutionizing procurement and enterprise automation with scalable, intelligent agents
  • Distributed ML Platforms: High-performance MLOps for real-time, global-scale deployments
  • Domain-Specific AI Innovations: Custom LLMs and agents for high-stakes industries like aerospace and finance

๐ŸŒŸ Open Source Contributions

  • Architecture Testing Tools: Expanding ArchUnit-TS ecosystem
  • MLOps Utilities: Production-ready tools for ML lifecycle management
  • Educational Content: Tutorials and workshops on advanced ML techniques

๐Ÿš€ Career Ambitions

  • Scaling AI at innovative startups like Cursor or consulting firms
  • Leading AI initiatives in big tech to drive global impact

๐Ÿค Let's Connect

Ready to collaborate on game-changing AI? Let's discuss:

  • AI/ML Leadership for production systems and startups
  • Research & Innovation Partnerships
  • Opportunities in High-Growth Tech (startups, consulting, big tech)
  • Open Source Contributions to ML tooling

๐Ÿ“ง Reach out: jan@heimann.ai | ๐ŸŒ Portfolio: heimann.ai


"Engineering AI that transforms industries and creates lasting value."


โญ If you find my work valuable, consider starring my repositories!

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