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🎯 About Me

  • 🧠 Working Student — AI/ML Researcher @ Fraunhofer FOKUS
  • 📱 Former Software Engineer @ KIDA Studios
  • 🎓 Master's in Computer Science @ GISMA, Berlin
  • 🔬 Active Researcher: Published preprints on Apple MLX benchmarking
  • 🌍 Full-stack focus: ML systems + backend APIs + mobile platforms + distributed networks

🔧 Tech Stack

Languages
Python C++ TypeScript Swift Java SQL

ML & AI
PyTorch TensorFlow Apple MLX OpenCV Scikit-learn Pandas

Backend & Systems
FastAPI Express.js REST APIs Docker ZeroMQ Distributed Systems

Mobile & Frontend
SwiftUI Flutter React CoreML Firebase

Cloud & DevOps
AWS Linux Git


🚀 Featured Projects

🤖 AI & Agents

  • Agentic AI Debate Simulator – Multi-agent orchestration with tool-use
    • Tech: Python, Pydantic AI, DuckDuckGo API, Vertex AI
    • Impact: Autonomous agents dynamically research & debate complex topics
    • ⭐ Best for: Understanding multi-agent systems & LLM orchestration

🌐 Full-Stack

  • ScrollCast – News/weather aggregation platform
    • Tech: React, Express.js, Prisma ORM, JWT, Analytics Dashboard
    • Impact: End-to-end architecture with security & data insights
    • ⭐ Best for: Full-stack + backend design

📱 Shipped Products

  • Lookout – iOS dashcam with tactical overlays

    • Tech: SwiftUI, AVFoundation, MapKit, picture-in-picture recording
    • Impact: Published on App Store; real-time GPS overlays & dual-camera recording
    • ⭐ Best for: iOS production + real-time systems
  • ideaDe – Interactive brainstorming platform

    • Tech: Flutter, Firebase Realtime Database
    • Impact: Published on App Store; real-time collaborative features
    • ⭐ Best for: Cross-platform mobile + Firebase integration
  • eli5-extension – Chrome extension for AI explanations

    • Tech: JavaScript, Chrome API, AI integration
    • Impact: Published on Chrome Web Store
    • ⭐ Best for: Browser automation & productivity tools

👁️ Computer Vision & ML

  • Face Age Estimation (ONNX) – Multi-task CV pipeline

    • Tech: EfficientNet-B0, ONNX export, C++ OpenCV inference
    • Metrics: <50ms latency, production-ready inference
    • ⭐ Best for: Model deployment & optimization
  • B&W Colorization – PyTorch to iOS

    • Tech: PyTorch → CoreML → SwiftUI app
    • Metrics: 91% accuracy on colorization task
    • ⭐ Best for: Mobile ML deployment
  • On-Device GANs with MLX – Generative models on Apple Silicon

    • Tech: PyTorch, Apple MLX, GPU acceleration
    • Impact: Research-grade GANs/VAEs; benchmarked vs PyTorch
    • ⭐ Best for: Efficient ML on edge devices

📚 Research & Publications


🔭 Current Focus

  • 🛰️ 5G Standalone network simulation – Virtualized network orchestration at Fraunhofer FOKUS
  • 🌍 LEO satellite communications – Propagation modeling & Doppler shift simulation
  • 🤖 Multi-agent AI systems – Tool-use orchestration & agentic workflows
  • 📊 Production ML pipelines – Optimization, deployment, benchmarking

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