Kunal Sawarkar
Co-Founder Chief AI Officer at Stealth AI Startup
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolKunal Sawarkar is a seasoned AI leader and entrepreneur with nine years of focused experience building enterprise-grade AI platforms and products. As Co-Founder and Chief AI Officer at a stealth AI startup, he’s tackling the hard problem of making untapped real-world data learnable and actionable at enterprise scale (100M+). Previously a Distinguished Engineer and Chief AI Scientist at IBM, he led agentic AI initiatives, founded AI Build Labs, and shipped reusable NLP/speech libraries and production systems that processed millions of low-latency decisions. He combines deep technical execution—patents, benchmark-setting papers, and products like SuperKnowa and Querycraft—with strategic investor and board roles across AI, deeptech, and BCI startups. Based in the NYC area and Harvard-educated in applied statistics, he pairs product-led growth instincts with research rigor to turn novel AI ideas into repeatable enterprise value. Avid problem-solver beyond code, he brings the same creative tenacity to machine learning and rock climbing.
9 years of coding experience
12 years of employment as a software developer
Rashtrasant Tukadoji Maharaj Nagpur UniversityMaster's degree IMS with major coursework in Applied Statistics, Master's degree IMS with major coursework in Applied Statistics at Harvard University
Github Skills (53)
artificial-intelligence10
data-science9
lifecycle9
lightning9
pytorch9
scaling9
python9
machine-learning9
ai9
deep-learning9
eval8
cost-management8
supervised-learning8
infrastructure8
image-processing7
Programming languages (3)
Github contributions (5)
PacktPublishing/Deep-Learning-with-PyTorch-Lightning
Jan 2021 - May 2022
Contributions:61 commits, 62 pushes, 23 comments in 1 year 4 months
ibm-ecosystem-engineering/SuperKnowa
Jun 2023 - Feb 2024
Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces. This repo is intended for IBM Ecosystem partners.
Contributions:5 reviews, 7 PRs, 19 pushes in 8 months
aigenailarge-language-modelsllmllmops
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