I am a software engineer specializing in High-Performance Computing (HPC), GPU-accelerated libraries, and efficient image processing.
A highly optimized Python wrapper for libjpeg-turbo (TurboJPEG API).
- Core Value: Engineered for seamless, high-speed image transcoding across x86 and ARM architectures.
- Impact: Widely used in computer vision pipelines where JPEG encoding/decoding is the primary bottleneck.
A single-header C++17 library for bit-reproducible floating-point summation with SYCL, based on the Ahrens-Demmel-Nguyen binned algorithm.
- Core Value: Produces bit-identical
floatanddoubleresults regardless of input order, work-group scheduling, device vendor, or backend. - Impact: Enables deterministic numerical results across heterogeneous CPUs and GPUs while retaining a high-throughput, single-pass reduction design.
I am actively involved in the ecosystem of high-performance libraries, with contributions and interests in:
- GPU Computing: Contributions to NVIDIA/cccl, CuPy, and RAPIDS rmm.
- Systems Programming: Experience with libuv (asynchronous I/O) and deep-learning performance optimization.
- Computer Vision: Optimizing end-to-end pipelines using libjpeg-turbo and custom CUDA kernels.






