Jitesh Kamble is a Senior Distributed Systems Engineer based in San Francisco with 11 years of engineering experience and a strong focus on scalable backend systems. At NVIDIA since 2018 he’s built production-grade distributed tooling and previously delivered system-level automation, SDKs, and search optimizations that cut query latency from seconds to milliseconds. His background spans Python-heavy ML and infrastructure work—designing ML pipelines, REST APIs, streaming integrations, and packaging/deployment automation—guided by MS and BE degrees in computer science. Early work at ASU shows a knack for practical research engineering: building RESTful repositories, Celery pipelines, and NLP indexing for corpus analysis. He combines low-level systems pragmatism (device/host communication, build-time estimators) with data-driven model experimentation, making him effective at bridging ML, devops, and large-scale service engineering.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State University
Bachelor of Engineering - BE, Information Technology, Bachelor of Engineering - BE, Information Technology at Pune Institute of Computer Technology
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Jitesh Kamble - Senior Distributed Systems Engineer at NVIDIA