Data Scientist Β· ML Engineer Β· Backend Developer
M.Sc. Data Science @ TU Hamburg Β· Building intelligent systems, one pipeline at a time
I'm a Data Scientist and ML Engineer currently pursuing my M.Sc. in Data Science at TU Hamburg (TUHH). I love building end-to-end ML systems β from raw data pipelines to deployed models β and I'm equally comfortable on the backend infrastructure side.
- π M.Sc. Data Science @ TUHH, Hamburg (2025β2027)
- πΌ Previously at BISAG-N (geospatial ML) and Motadata (real-time ETL & event-driven systems)
- π Hackathon winner β NiT Sparkathon 2025, Hamburg
- π± Currently exploring real-time ML systems with Kafka, Flink, and stream processing
- π Based in Hamburg, Germany | Open to Werkstudent roles (20 hrs/week)
- π£οΈ English (C1) Β· Deutsch (B1, actively improving)
𧬠One-Shot Facial Recognition · GitHub
CNN-based Siamese Network achieving 98% accuracy using contrastive loss training and data augmentation. Reduced training time by ~17% via an optimized TensorFlow + OpenCV pipeline.
A real-time Network Monitoring System built with Java (Vert.x) and Golang, capable of tracking 1,000+ devices simultaneously. Uses Apache Kafka and ZeroMQ for async event-driven messaging β achieving ~28% latency reduction and 42% higher monitoring capacity.
π§ Mental Health Prediction from Personality Traits Β· Kaggle
Multi-target classification (CART + SVM) predicting anxiety (86%), depression (75%), and stress (67%) β improved ~15% through k-fold cross-validation and feature correlation analysis.
π» CodeCraftPro β Collaborative Coding Environment Β· GitHub
Real-time multi-user coding platform built with Node.js, React, socket.io β <100ms sync latency, token-based auth, 40% improved session reliability.
| Certificate | Issuer |
|---|---|
| Fundamentals of Deep Learning | NVIDIA |
| Machine Learning Foundations | AWS |
| Cloud Architecting | AWS |
| Data Analytics Professional Certificate | |
| Big Data Foundations β Level 1 | IBM |
| Technical Support Fundamentals |

