Atul Kumar
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAtul Kumar is an entrepreneurial AI product leader and three-time founder with 25 years of experience building and scaling high-impact products across startups, growth-stage companies, and big tech. He combines deep product strategy, go-to-market expertise, and hands-on ML engineering—shipping vertical SaaS and agentic LLM experiences for e-commerce, call centers, and regulated healthcare. At Google and eHealth he launched AI-first CDP and omni-channel voice/chat agents that materially improved conversion, retention, and cost metrics while establishing enterprise AI governance. As a former CPO and VP of Product he has repeatedly built product organizations from zero to scale and driven successful exits, leveraging customer-first design and technical rigor. He remains an active practitioner—prototyping “vibe coding” products and contributing ML code such as a pointer-generator summarizer—keeping close to both research and production. Based in San Francisco with a PhD background, he blends academic depth with a builder’s bias for action and a focus on mentoring high-performing teams.
15 years of coding experience
24 years of employment as a software developer
M.S. Materials Science, M.S. Materials Science at Indian Institute of Science (IISc)Ph.D. Materials Science, Ph.D. Materials Science at University of CambridgeB.S. Materials Science, B.S. Materials Science at Punjab Engineering College
English, Hindi, Punjabi
Github Skills (9)
text-summarization10
pytorch10
machine-learning10
nlp10
deep-learning10
data-processing10
python9
git4
tensorflow4
Programming languages (4)
Github contributions (5)
atulkum/pointer_summarizer
Apr 2018 - Jan 2023
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Role in this project:
ML Engineer
ML EngineerContributions:99 commits, 90 pushes, 2 branches in 4 years 10 months
Contributions summary:Atul implemented and refined training procedures for a pointer-generator network, a type of model used for text summarization, as evidenced by the commit messages and code changes. They focused on developing the data loading and batching mechanisms. The user also made changes to the model's decoding process, including integration of coverage mechanism to enhance summarization quality. Furthermore, the user adapted and improved the evaluation and training scripts.
pytorchnlppointer-generatorpointpointer
atulkum/imageProcessing
Mar 2011 - Dec 2015
Contributions:5 commits, 1 push in 4 years 10 months
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