Advanced Query Optimization
Enhancing database system throughput and responsiveness through advanced indexing and optimization techniques.
Performance Optimization & GPU-Accelerated Computing
I hold a PhD in Computer Science and bring over a decade of experience in software engineering, with a specialization in performance optimization and GPU-accelerated computing. Throughout my career, I have led significant advancements in query engine optimization, numerical computing, and deep learning, contributing to high-impact open-source projects like PyTorch, Apache Arrow, and NVIDIA RAPIDS AI.
Currently, I work as a Staff Software Engineer at VoltronData as part of the Theseus team, where we are building a GPU Query Engine capable of handling petabyte-scale data. My focus is on optimizing complex data operations to make them faster and more efficient, empowering organizations to maximize the value of their data.
PhD — Computer Science
Staff Software Engineer
VoltronData — Theseus
Open Source: PyTorch • Arrow • RAPIDS
Core Expertise
GPU Acceleration
Achieving 10×–50× speedups for data‑intensive tasks using CUDA and libraries like PyTorch and cuDF.
Sparse Tensor Support
Contributing to PyTorch’s sparse tensor capabilities for efficient processing of large‑scale, sparse datasets.
Algorithm Design
Developing innovative solutions for big‑data processing challenges, with a focus on scalability and efficiency.
Let’s Connect
I’m deeply passionate about data structures and algorithms, especially how they evolve and scale. I enjoy solving the complex puzzles of system optimization, where each improvement brings new possibilities and challenges. If you share an interest in these topics, feel free to connect with me!