About Me
I am a Master's student in Artificial Intelligence with strong foundations in software engineering and scalable system design. I build production-ready applications that combine machine learning, computer vision, backend engineering, and modern web technologies.
My experience spans RAG-based document Q&A systems, real-time NLP microservices, and computer vision pipelines. Recent projects include an Industrial Defect Detection system using CLIP and Vision-Language Models with zero-shot classification and Grad-CAM explainability on the MVTec AD dataset, and a Battery Test Failure Assistant with LangChain, Groq LLM, and Streamlit. I focus not only on model development but also on clean architecture, API design, performance optimization, and deployment.
Technically, I work across Machine Learning, Computer Vision (CLIP, OpenCV, Grad-CAM), Generative AI (RAG, GPT-based systems), backend development with FastAPI, REST APIs, Docker, and modern data engineering workflows. I value structured code, maintainability, and practical real-world solutions.
Open to roles in Machine Learning, Backend Engineering, and Software Development across Europe, particularly in Germany.
Open to AI internships and full-time roles across Europe.