Mert Cobanov

Senior AI engineer building agents with complex memory: backend systems, vector databases, diffusion model training, and generative pipelines. Mostly Python, FastAPI, and Pydantic AI.

Writing about AI engineering, homelabs, and whatever I'm tinkering with

Writing

Projects

Libraries

  • Semantic text clustering using sentence embeddings and agglomerative clustering.

  • Aspect ratio bucketing for diffusion model training. PyTorch native, DDP correct.

  • Unsupervised image clustering with modern deep embeddings, PCA and K-Means.

  • Convert depth map images to RGB normal maps for shading and 3D workflows.

  • Summarize web pages and YouTube videos with pluggable LLM backends.

  • Realtime webcam streaming and video processing with a FastAPI UI.

Contact

[email protected]

Based in Los Angeles. Open to interesting projects, collaborations, and long emails about AI, art, and tooling.