Oral Yalçınpınar

Assisted in 7+ courses as a teaching assistant for C, Java, and Python. Researched optimization algorithms for solving NP-Hard problems, with experimental work using quantum computing tools (Qiskit, IBM Quantum). Assisted in teaching Node.js and guided students through React and Next.js course projects.

Built real-time computer vision models using YOLO and TensorFlow. Labeled, trained, and evaluated object detection models on a custom 1,000+ image dataset for anomaly detection, reaching approximately 75% accuracy. Optimized inference on NVIDIA Jetson Orin with CUDA to improve real-time runtime performance. Built end-to-end Python pipelines covering data preparation, training, evaluation, and deployment.

Contributed to Android app development in a team using Java/Kotlin and Git.

Wrote a script to streamline technical documentation, reducing manual reporting effort in a telecom infrastructure environment.

Python, JavaScript, Java, Kotlin, C++, SQL.

FastAPI, REST APIs, SQLAlchemy.

PostgreSQL, pgvector (vector search).

LLM API Integration, RAG, Embeddings, PyTorch, YOLO.

Astro, Android (Java, Kotlin).

Git, GitHub, Docker, Docker Compose, Linux, Claude Code, VS Code.

ONNX, TensorRT, NVIDIA Jetson, CUDA.