Empowering collaborative robots to think and learn like humans (2026)

Implemented a high-performance data pipeline capturing 30+ synchronized camera, sensory, and telemetry streams of the Peer3000 during operations to enable human-like learning and autonomous intelligence.

Enterprise AI Platform & Agent Infrastructure for FUNKE Mediengruppe (2025 – 2026)

Architected and scaled FUNKE's enterprise AI platform: multi-agent systems, 20+ Model Context Protocol (MCP) servers, secure execution sandboxes, and corporate client rollouts serving 5,000+ active users (featured by Google Cloud).

Development of an AI Platform for AI Studio (2025 - 2026)

Strategic AI consulting and development of a multi-agent AI platform using LangGraph and LangSmith, with cloud deployment and production-ready agentic use cases for a variety of clients.

Semantic Search & RAG System for Intelligent Access to Company Knowledge (2024 - 2025)

Implemented an optimized RAG system using semantic search to transform siloed documentation into actionable insights. This architecture achieved a 50% improvement in search accuracy across internal company data.

Cloud-Native Data Platform for Real-Time Algorithmic Energy Trading (2024 – 2025)

Designed and built a cloud-native data platform on Google Cloud that powers real-time algorithmic energy trading. The system processes live market data, weather feeds, and grid signals to execute automated trading strategies.

Transforming Manual Document Workflows with Google Cloud Document AI (2023 – 2024)

Led the development of intelligent document automation for banking and insurance clients, automating classification, entity extraction, and scanning. Achieved up to 80% faster processing.

AI-Powered Cloud Solution for Digitizing Lottery Retail (2022 – 2024)

Built a cloud-native lottery slip recognition system replacing legacy scanner terminals with tablet devices. Processing 40,000+ slips monthly at >99% accuracy with zero reported issues over 20+ months in production.

AIxCell – Democratizing Deep Learning for Biomedical Image Analysis (2021 – 2022)

Contributed to an AutoML platform empowering biomedical professionals to independently design, train, and deploy deep learning models for cell segmentation and classification without writing code.