A curated selection of projects that survived code review, production deployment, and my perfectionism.
Source-grounded Quran Q&A with hybrid RAG. Ingested 6,236 verses, 15 translations, and 6,237 tafsir chunks into a pgvector store with HNSW indexing. Fused tsvector lexical search (Turkish diacritic-insensitive FTS) with semantic search via Reciprocal Rank Fusion. The LLM never produces scripture — Arabic verses are always served from the data layer with source references, so it can't hallucinate. Live on the App Store.
Real-time automated trading bot consuming Binance WebSocket streams and executing custom strategies. Deployed for banking clients (DenizBank, Akbank). My code trades better than my instincts.
AI-powered embryo quality pre-labeling from time-lapse imagery for physician decision support. CNN classifiers (ResNet-50, Inception-v3, DenseNet-121, EfficientNet) with transfer learning on clinical data — deployed in collaboration with Acıbadem fertility clinics.
Master's thesis (defense stage). Multi-modal deception classification fusing gaze patterns (fixation/saccade) with temporal facial micro-expression features. Sole researcher.
Symptom-based disease prediction system with an optimized model selection pipeline. Cross-validated classifier benchmarks (Decision Tree, Random Forest, SVM).
Computer vision and ML for hospital decision support — illness detection with YOLO and CNN classifiers, deployed in production with a 10-person agile team and clinicians.
State notification system for Burger King, Watsons, Starbucks — automating official employee and business notifications. AI-driven government grant calculations. Microservices with fault tolerance.
This very website. Built with Next.js, Tailwind, and Framer Motion — you're looking at it.
These are just the ones I'm allowed to talk about.
The classified projects are... classified.