Backend programming, performance optimization, Natural Language Processing (NLP), data engineering, CI/CD, Kubernetes, GraphQL, WebAssembly, digital information security, functional programming, OSS, AI (Reinforcement Learning).
projects and hacks
1. "GitHub" re-imagined for machine learning and data engineering.
2. Building and training deep neural networks model on large datasets to detect objects in images and NLP using PyTorch and Python.
3. PyTorch Mobile — a simple solution for deploying deep learning model to mobile devices using libTorch + Rust (no ONNX required). A key missing piece of PyTorch deployment story.
Looking for great people to collaborate on interesting side projects.