I design and implement functionality, performance, and scalability features in the SambaFlow runtime software stack to enable next-generation AI models.
Skills: Hardware resource management, performance analysis and optimization, multithreading, multiprocessing, HW-SW codesign
Some projects that I've previously worked on:
•Identified and optimized data transfer bottlenecks using thread-level parallelism, pipelining, and better hardware resource management to improve end-to-end model performance by 50% in some workloads.
•Led a project team of 9 software engineers to update the runtime software stack for a new accelerator bringup, enabling ML models to run on the new accelerator within minutes of power-on.
•Identified and fixed extreme memory inefficiencies in the software stack, decreasing CPU memory utilization by over 90% in large language models.
•Designed and implemented low-level data transfer primitives for cooperative distributed applications using proprietary data transports.
•Researched and authored an internal guide to writing safe multiprocessed and multithreaded code in high-performance computing environments, which was used to fix multiple critical bugs and prevent future ones.
•Led the first-ever runtime software documentation effort, working with customer engineering and senior engineers to create system administrator documentation for the first SambaFlow release and all subsequent releases.
