Anil Thomas
Member Of Technical Staff at Essential AI
San Ramon, California, United States
Summary
👤
Senior🎓
Top SchoolAnil Thomas is a seasoned technology leader and generalist with three decades of high-tech experience spanning AI, high-performance computing, and algorithm-hardware co-design. He has led research teams and delivered customer-facing data science programs, from assembly-level optimization to large-scale ML systems, including building efficient kernels for Intel's Neural Network Processor and contributing to the Nervana neon framework. A co-founder and CTO of Luminide, he helped create an AI development platform that was acquired by Akridata, where he later designed cloud AI solutions as Senior Director, Applied Data Science. He previously directed AI product research and machine-learning teams at Intel, and shaped Cisco's streaming and VOD architectures, demonstrating a track record of shipping reliable, scalable systems. Anil is based in San Ramon, California, and is a Kaggle grandmaster, ranked #2 overall in 2014, illustrating rare depth in practical data science. Currently, as Member of Technical Staff at Essential AI, he continues to blend hands-on engineering with strategic leadership to accelerate AI adoption.
10 years of coding experience
27 years of employment as a software developer
University of Illinois Urbana-Champaign
Github Skills (6)
python10
machine-learning9
data-handling9
back-end-development8
c-programming-language7
c-language7
Programming languages (1)
Github contributions (5)
NervanaSystems/neon
May 2015 - Apr 2017
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:105 commits, 1 PR, 15 comments in 1 year 11 months
Contributions summary:Anil contributed to the Intel® Nervana™ deep learning framework by fixing sample computations, modifying backend parameters, and integrating datasets with the experiment object. They also implemented a simplified expression for computing output dimensions in layers. The user's contributions demonstrate a focus on improving the framework's performance and usability, particularly in areas relating to model training and data handling.
deep-learningbest-performanceintelmachine-learningperformance
luminide/luminide-templates
Aug 2021 - Sep 2022
Project templates for use with Luminide
Contributions:3 reviews, 88 PRs, 128 pushes in 1 year 1 month
templateproject-templates
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.