Transforming data into insights, complexity into clarity
Computer Science student passionate about machine learning, natural language processing, and building intelligent systems that solve real-world problems. Based in Frankfurt, Germany.
Extracting meaningful patterns from complex datasets using statistical analysis and visualization.
Building intelligent systems that understand and process human language with state-of-the-art models.
Automated data collection and extraction from web sources for analysis and research.
Creating robust server-side applications and RESTful APIs with modern technologies.
Sharing knowledge and helping others master mathematics and programming concepts.
Interactive dashboard analyzing Tesla's financial performance using real-time SEC data. Features comprehensive stock price tracking and revenue analysis with dynamic visualizations.
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Complete NLP pipeline featuring web scraping, UIMA framework integration, WhisperX audio transcription, and RESTful API for seamless data processing and analysis.
View ProjectReal-time news article classification system using NLP and machine learning. Built with Streamlit for instant predictions and user-friendly interface.
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Developing advanced sentiment analysis using DimABSA (Dimensional Aspect-Based Sentiment Analysis) with transformer architectures for nuanced emotion detection and aspect-level sentiment extraction.
Building a comprehensive home lab infrastructure with private cloud capabilities for self-hosting services, running ML experiments, and learning enterprise-level DevOps and Cyber security practices.
Contributing to AI safety seminar by investigating alignment problems, robustness challenges, and ethical considerations in deploying large language models and AI systems.
Currently based in Frankfurt, Germany. Open to opportunities in data science, machine learning, and software development.