Data Scientist with expertise in machine learning, AI, and data engineering. Experienced in deploying practical solutions using LLM models, neural networks, and advanced analytics.
Technologies and tools I work with to build innovative solutions
Currently developing a deep learning pipeline to enhance spatial resolution of Sentinel-2 satellite imagery for land cover classification, slope detection, and urban growth prediction. Applications include terrain assessment for flooding/landslide risk and real estate development evaluation.
Bachelor thesis (96% grade) exploring how large language models can generate synthetic data for laser-accelerated ion beam studies. Applied advanced prompt engineering and statistical validation to address data scarcity in specialized physics domains.
Built and deployed a real-time anomaly detection system for IoT sensor data in smart manufacturing. Uses Apache Kafka, Spark Streaming, and Cassandra with Isolation Forest for scalable data processing and automated model drift detection.
Real-time data engineering solution for processing environmental sensor data in smart cities. Containerized architecture with threshold breach detection, alerting systems, and Grafana monitoring for proactive municipal response.
Interpretable machine learning model for breast cancer detection with F1 > 0.95. Features Logistic Regression with PCA, detailed feature analysis, and FastAPI-based Docker deployment with interactive UI for clinical usability.
Convolutional Neural Network for real-time emotion classification from facial expressions using MMAFEDB dataset. Features batch normalization, dropout layers, and FastAPI deployment for marketing applications.
Designed and implemented a fully functional SQL Data Mart for an Airbnb-style platform using PostgreSQL. Features advanced relational database modeling, 30+ interconnected tables, and optimized queries for analytical reporting.
Unsupervised machine learning analysis of arXiv scientific papers using TF-IDF, PCA, and KMeans clustering. Features scalable processing with Dask Distributed for 4GB+ datasets and interactive topic trend visualizations.
Interactive dashboard for rural population analysis using World Bank data (1960-2022). Features choropleth maps, linked visualizations, and AWS deployment with Dash, Plotly, and Docker for responsive geo-visual storytelling.
Automated collection and transformation of data from REST APIs, HTML pages, and WebSocket streams into structured time-series datasets. Features cron-schedulable scrapers with error logging and HDF5 storage.
Cross-platform command-line habit tracking app built with OOP principles and SQLite backend. Features habit management, streak analytics, JSON import/export, and comprehensive test coverage with pytest.
TradeWars
Successfully scaled a cryptocurrency trading simulation platform from concept to 1,000+ active users. Led product development, user acquisition strategies, and technical architecture with focus on growth hacking and market penetration.
Trading Channel & Community
Built and scaled a thriving trading community with advanced technical analysis capabilities. Focused on technical analysis, market discussions, cryptocurrencies.
I'm a Data Scientist with a B.Sc. in Data Science from IU International University of Applied Sciences (final grade 1.5 / GPA 3.7 - top 5% of students). My passion lies in developing AI-driven solutions that solve real-world problems, with extensive experience in machine learning, deep learning, and data engineering.
My work spans generative AI, large language models, anomaly detection, geospatial analysis, and interpretable machine learning. I focus on clean, scalable, and reproducible systems that can move from prototype to production. My thesis on synthetic data generation using LLMs received a 96% grade, showcasing my interest in pushing the boundaries of AI applications.
I'm actively seeking fully remote opportunities focused on AI agents, geospatial intelligence, generative AI, and LLM-powered applications such as RAG-based chatbots. I thrive in agile teams where rapid iteration, curiosity, and innovation are valued.
Final Grade (German Scale)
GPA (out of 4.0)
Thesis Grade
Major Projects
I'm always open to discussing new projects, opportunities, and ideas. Whether you have a question about AI, data science, or just want to say hi, I'll try my best to get back to you!