Skills, Frameworks, and Technologies I've Picked Up Along the Way.

Over the past few years, I've worked across data science, engineering, and AI product development. Each role taught me something new — from building systems that scale to leading teams that care. These are the tools, methods, and mindsets that shape how I build and learn today.

Technical Proficiencies

  • Programming Languages

    Strong in Python (data, ML, and backend), TypeScript (Next.js, React), and SQL (PostgreSQL, Supabase). Experience with Go, Kotlin, and Java for backend and infrastructure projects. (Infineon, AISBACH, Expleo, Venture Labs)

  • Machine Learning & AI

    Hands-on with PyTorch, TensorFlow, scikit-learn, and MLflow. Applied ML in production for chip design, quality assurance, and reasoning systems. (Infineon, Harvard Medical, AISBACH)

  • LLMs & AI Applications

    Built LLM-based applications for legal, investment, and support use cases using LangChain, Haystack, and n8n. Experimenting with evaluation, retrieval, and system reasoning layers. (AISBACH, Personal Projects)

  • Full-Stack Development

    Built full-stack applications with Next.js, React, and FastAPI. Focused on scalable architectures, AI integrations, and modern deployment pipelines. (Venture Labs, Expleo, This Website)

  • Data Engineering & Infrastructure

    Worked with Spark, Docker, Kubernetes, and CI/CD (GitHub Actions). Designed data pipelines for IoT and ML systems processing millions of daily data points. (Expleo, Infineon)

  • Cloud & Deployment

    Deployed projects on Cloudflare Workers, AWS, and Fly.io. Experienced with containerized environments and automated deployments. (Infineon, Personal Projects)

  • Mathematical Foundations

    Strong grounding in statistics, optimization, differential geometry, and information theory — connecting theory with applied AI and system design. (TUM, Harvard Medical)

Leadership & Strategy

  • Team Leadership

    Led cross-functional teams across tech, product, and community projects. Focused on ownership, clarity, and autonomy. (TUM.ai, Venture Labs, Infineon)

  • Project Management

    Managed AI and software projects end-to-end, from ideation to deployment, using agile and iterative delivery practices. (Infineon, AISBACH, Expleo)

  • Community Building

    Scaled TUM.ai into one of Europe's leading AI student communities with 300+ members, driving collaboration between academia and industry. (TUM.ai)

Industry Knowledge

  • AI Systems & Infrastructure

    Experience in building scalable, production-grade AI systems that combine data pipelines, model training, and product integration. (Infineon, AISBACH, Venture Labs)

  • Product & Startup Ecosystem

    Worked within early-stage ventures and innovation labs, coaching AI startups and contributing to due-diligence automation tools. (Venture Labs, TUM.ai, EWOR)

  • Applied Research

    Conducted applied research at Harvard Medical School on neural rendering for neurosurgical navigation, bridging theory and practice. (Harvard Medical)