Edge AI crop disease detection (85% accuracy) using TensorFlow on Raspberry Pi. Won Best Presentation Award out of 64 teams at TEKNOFEST 2023 "Technology for Humanity" competition.
About
Software engineering student at Kocaeli University, currently an ML intern at Intuition Machines. I work at the intersection of computer vision, AI research, and blockchain - and I care about building things that actually work.
Interested in music, history, football, and finance. Fluent in Turkish and English, learning German.
Experience
Work
Legal information retrieval system for Turkish Notary Law using a RAG pipeline with LangChain and Qwen2.5-7B. FAISS vector store built from 125+ official circulars for contextually aware queries.
Data pipeline scraping Turkish automobile sites, with a PyTorch hierarchical image classifier for brand/model/trim identification and an XGBoost price predictor from vehicle specs.
NASA Space Apps Challenge 2025. AI-powered web app that uses NASA satellite data and Gemini LLM to generate afforestation reports for user-selected regions, supporting climate action planning.
Smart contracts for a Tamagotchi-style blockchain game with ERC-721 NFT pets and accessories. Play-to-earn ecosystem where pet care mechanics generate CGLD token rewards.