• ·Contributed to TorchDynamo's TVM backend, adding Relax frontend support and dynamic-shape handling
• ·Fixed Dynamo graph reconstruction to support custom hardware backends

• ·Contributed 20+ PRs across vLLM and vLLM Speculators for serving, sampling, and speculative decoding
• ·Optimized diffusion LLM serving memory 4.3x by memory-aware request batching, enabling 4x higher concurrency
• ·Built the DFlash model converter, enabling external checkpoints to load and finetune in the Speculators format

• ·Contributed 100+ and reviewed 60+ PRs for TVM and TVM-FFI, invited as Committer in Jan. 2026
• ·Added decomposed operator support for 7 operator families and implemented 15+ new Relax operators
• ·Implemented symbolic range constraints and dynamic-shape support for PyTorch models with variable dimensions

• ·Contributed 170+ and reviewed 210+ PRs, invited as Committer in Sep. 2025
• ·Led the development of main features: the Human-in-the-Loop (AIP-90) and Asset Partition (AIP-76)
• ·Integrated Polars across 10+ providers, increasing flexibility while maintaining backward compatibility

• ·Invited to become NumPy Organization Member in May 2025
• ·Contributed 70+ PRs as a core contributor to the NumType project, improving NumPy's type system

React, FastAPI, LangChain, LangGraph, LangSmith

• ·Created an online editor for code optimization, conversion, and correction with integrated GitHub code scraping
• ·Designed a framework for managing conversational context and state using the Langchain ecosystem, enabling observable and explainable LLM interactions