Tunahan Uyar

I am a computer engineering graduate focused on applying AI, automation, and full‑stack development to real‑world problems. I combine academic foundations in algorithms, databases, operating systems and machine learning with hands‑on project experience.

I have delivered seven comprehensive projects using technologies such as Llama 3.3, PyTorch, Pyannote, FFmpeg and NVENC, achieving measurable results like 95%+ semantic CV scoring and an 800% rendering speedup. My work spans web applications, desktop tools and media engines.

I emphasize robust engineering: memory optimizations for long audio processing, multi‑threaded GPU acceleration for video generation, and heuristic algorithms for media merging and synchronization. I also design user‑facing tools such as editors and simulation modes to streamline workflows.

I am committed to continuous learning, collaborative teamwork and shipping efficient, maintainable solutions that add value to innovative projects and production pipelines.