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A little about me
AI/ML engineer focused on taking models from notebook to production - training deep learning systems, building LLM and RAG pipelines, and serving them at scale. Experienced across PyTorch, TensorFlow, and the modern GenAI stack, with a systems background that keeps inference fast, reproducible, and reliable in the real world.

Tech stack
A compact map of the languages, ML frameworks, and tooling I use to train, ship, and serve models.
~/ayush/workspace
Reach out any time. I am active on social and usually reply quickly.