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My Portfolio

Research, Development, and Innovation

Monti Platform (CONAN Study)

University Hospital Düsseldorf | 2022-2025

Development of an AI-based platform for continuous monitoring of heart patients using wearables. The system uses self-supervised contrastive learning for early detection of decompensation events in heart failure patients.

  • 290 patient prospective cohort study
  • 90 days continuous monitoring
  • Deep learning for anomaly detection in vital signs
  • Real-time processing of wearable data
Monti Platform

BSI IT-Grundschutz AI Search

2025

Development of an intelligent search system for BSI IT-Grundschutz documentation. The system provides precise answers to compliance questions with exact source citations.

  • RAG (Retrieval-Augmented Generation) architecture
  • 1000+ pages searchable
  • 95% time savings for compliance queries
  • Vector-based document search

Technology:

Python, Docker, ChromaDB, FastAPI

Bachelor Thesis: Active Pre-Training with Phasic Policy Gradient

2023

This thesis combines Active Pre-Training (APT) with Phasic Policy Gradient (PPG) for on-policy reinforcement learning. I addressed the Parallelism-Variance Dilemma in contrastive learning when using multiple parallel environments.

  • SimCLR objective for encoder training
  • Particle-based entropy rewards
  • 62.5M pre-training steps
  • Stabilization techniques: gradient clipping, entropy regularization

TurtleBot Autonomous Navigation

2021

Development of autonomous navigation technologies using the TurtleBot. The robot serves as a test platform for reinforcement learning algorithms and for optimizing control systems.

  • Sim-to-Real Transfer
  • ROS (Robot Operating System)
  • Deep Reinforcement Learning
  • Sensor fusion and environment mapping
TurtleBot

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