Staff software engineer with 10+ years of experience in software engineering and academic research, driving breakthrough performance in database optimization and GPU-accelerated computing. Proven track record of architecting high-performance solutions at the intersection of big data analytics and cutting-edge hardware acceleration.
- Advanced query optimization and indexing strategies, consistently delivering large improvements in database system throughput and responsiveness
- GPU acceleration mastery, leveraging CUDA and libraries like PyTorch and CuDF to achieve 10x-50x speedups in data-intensive workloads
- Pioneer in PyTorch sparse tensor support, enabling efficient processing of large-scale, sparse datasets
- Algorithm design specialist, creating novel solutions for complex data processing challenges in big data environments
- Apache Arrow - A development platform for in-memory analytics.
- Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
- CuDF - GPU DataFrame Library
- Blazingsql - BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
💬 Ask me about: I am enthusiastic about connecting with fellow professionals who share a passion for innovation in data and high-performance computing. If you're interested in collaborating or discussing related topics, please don’t hesitate to reach out!
📫 How to reach me: linkedin, twitter, more about me
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Tencent