I specialize in building end-to-end AI solutions, from data collection to deployment and maintenance, leading teams to deliver impactful results.
From classical ML to Deep Learning and Fine Tuning LLMs
Building scalable and efficient data pipelines.
Using cloud services to build scalable and efficient solutions.
Building efficient workflows with Power Platform and N8N.
Data Science Lead / Tech Lead
Leading a team of 2 Senior Data Scientists, 1 Data Engineer, 1 MLOps Engineer, and 2 Master Students. Managing end-to-end AI solutions with strong focus on team development and strategic planning.
Lead Data Scientist / Tech Lead
Building end-to-end AI solutions, from data collection to deployment and maintenance. Working with NLP, Vision, Audio frameworks, RAG Chatbots and LLMs (including finetuning).
Senior Data Scientist, Full Stack Developer
NLP models (Hate Speech Detection using X data), showing result in an Web application and Google extension. Building receipt evaluation system using OCR.
Data Scientist/ Assistant Teacher
Teaching AI and ML to students and colleagues. Building AI solutions for the University.
Master of Science in Data Science
Duisburg Essen University of Applied Sciences
Electrical/Electronic Engineering
University of Applied Sciences
Hours Worked
Projects Finished
Happy Clients
Coffees Consumed
Adapted open-source LLMs for domain-specific tasks, achieving significantly better accuracy than base models on internal benchmarks.
Orchestrated multiple AI agents for complex queries, routing requests to specialized models based on intent classification.
Enterprise chatbot with document upload, web search integration, and feedback loops for continuous answer improvement.
Multilingual topic clustering using BERTopic to organize massive media archives by semantic themes across languages.
NLP system detecting German holidays and cultural events in media content for seasonal programming recommendations.
Automatic language identification service classifying content across 50+ languages for localized recommendation engines.
Automated metadata extraction using KeyBERT to identify relevant keywords and phrases for content searchability.
AI negotiation assistant that extracts meeting insights and generates procurement arguments using RAG and hybrid search.
Customized Stable Diffusion model to generate brand-specific images matching company visual guidelines and style requirements.
Computer vision pipeline identifying main characters in video content and selecting optimal aesthetic frames for thumbnails.
Quality control tool analyzing video streams to detect and timestamp black frames for broadcast compliance checks.
Neural network scoring visual appeal of frames and clustering similar images for automated thumbnail selection.
Deep learning face analysis extracting demographics and emotions from video frames for content categorization metadata.
Enhanced Whisper ASR with German dialect training data, reducing word error rate by 40% on internal test sets.
Real-time subtitle generation system translating German broadcast content to English with 5-second latency using Whisper.
Audio analysis system detecting silence patterns to automatically segment videos into scenes for better content navigation.
Interactive AI interviewer using speech recognition and synthesis, featured live on RTL television broadcast.
AI-powered trading bot using sentiment analysis and fear index to automate buy/sell decisions in real-time.
Smart browser extension that provides contextual AI assistance by learning from expert users' knowledge and workflows.
Built intelligent automation workflows using Microsoft Power Platform and Copilot Studio for enterprise task orchestration.
Automated video ad creation from URLs using GPT-4 Vision for scene matching and voice cloning for narration.
Content moderation system using OCR and NLP to detect and flag adult material across multimedia datasets.
Age-appropriate content classifier identifying children's programming for parental control and recommendation filtering systems.
Master thesis building predictive churn models for manufacturing B2B clients using Azure ML and big data pipelines.
Mentored graduate students on NLP research including hate speech detection and sentiment analysis with real datasets.
End-to-end Kubernetes deployment on Azure AKS with GitOps via Flux and automated CI/CD pipelines using GitHub Actions.
Infrastructure as Code with Terraform for provisioning and managing cloud resources across environments with reproducible deployments.
I'm always interested in hearing about new projects, opportunities, and collaborations. Feel free to reach out!
