Anil Thomas
Member Of Technical Staff at Essential AI
San Ramon, California, United States
Summary
👤
Senior🎓
Top SchoolAnil Thomas is a seasoned engineering generalist with three decades in high-tech and over a decade focused on AI and data science, currently a Member of Technical Staff in the Bay Area. He has led teams and startups—co-founding Luminide and later leading applied data science at Akridata—building cloud-native platforms that accelerate AI development and deployment. At Intel and Nervana he combined machine learning research with low-level engineering, contributing to the neon deep learning framework and optimizing kernels for neural-network processors. His background spans product delivery at scale—from Cisco video systems to AI solutions for oil & gas—and includes hands-on contributions that improved training pipelines and backend performance. Based in San Ramon, he pairs PhD-level team leadership with deep implementation skills, often translating research ideas into production-ready systems.
11 years of coding experience
27 years of employment as a software developer
MS Computer Science, MS Computer Science at University of Illinois Urbana-ChampaignBTech Computer Engineering, BTech Computer Engineering at National Institute of Technology Karnataka
Github Skills (6)
python10
machine-learning9
data-handling9
back-end-development8
cprogramming-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
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