About Me

B.Sc. Software Engineering

Bahçeşehir University · Istanbul, Turkey

Sep 2022 – Jun 2026

Minor: Optimization (Industrial Engineering) · Feb 2025 – Jun 2026

Deep Learning Specialization

DeepLearning.ai · Dec 2025 – Mar 2026

• ▸Multi-tenant RAG SaaS on self-hosted infrastructure — zero cloud cost, per-tenant PostgreSQL schema isolation, document chunking, vector search, and streaming LLM chat with sliding-window history.
• ▸Serverless TypeScript edge functions on self-hosted Supabase (13-container Docker stack on dedicated Ubuntu server)

• ▸DINOv2 ViT-B/14 fine-tuned on 13,355-image TextileNet subset.
• ▸macro-F1 0.765 across color, pattern, material, texture; +11.6 pp over ResNet-50 baseline.

• ▸Async Python backend with FastAPI, SQLModel, and asyncpg in a 5-service Docker Compose stack (PostgreSQL, Redis, Qdrant, FastAPI, React)
• ▸JWT auth with bcrypt, timing-safe login, RBAC, and PDF upload with magic-byte validation

• ▸Benchmarked MediaPipe (33 keypoints) vs YOLOv8-Pose (17 keypoints) on latency, accuracy, and model size for real-time exercise tracking.
• ▸Shipped the live Squat Counter API with MediaPipe Pose Landmarker only; YOLOv8-Pose stayed in the research comparison.

• ▸Achieved 97% crash rate reduction (98% → 3%) and 18× survival time increase over 200k training steps using Proximal Policy Optimization (PPO) with CUDA-accelerated training on RTX 3050
• ▸Designed multi-objective reward function (V6) balancing speed, safety, lane discipline, and collision avoidance — then diagnosed a degenerate slow-driving policy through mathematical break-even analysis proving slow driving was optimal under the reward structure