Founder & Developer, Sentient OS (won 3000 Grant Applying To YC S26 & A16z Speedrun) at Bliss AI
Amherst, Massachusetts, United States
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Summary
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Rockstar
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Top School
Jesai Tarun is a founder and developer building Sentient OS, an on-device AI memory layer that processes screenshots, files, and notes entirely offline and has already demonstrated a 3.11GB vision LLM running on iPhone hardware through novel selective quantization. With six years of hands-on experience shipping consumer and assistive AI—ranging from a system-wide writing assistant that reached 30,000 users and 2,000+ GitHub stars to a Gemini-powered STEM tutor deployed on low-end school tablets—he combines product instincts with deep low-level ML and systems engineering. His independent research on quantization effects (5,000+ runs across a bespoke 654-question SAT-style benchmark) directly informed his mobile LLM optimizations and is being prepared for publication. Jesai’s work has been recognized in WIRED and dozens of other outlets, won hackathon and grant prizes, and attracts interest from top accelerators including YC and a16z; unusually, he bridges reverse-engineering, device-level optimization, and scalable product design to make high-end AI run where the data never leaves the user’s device.
5 years of coding experience
International Baccalaureate Diploma Programme (IB DP), High School/Secondary Diploma Programs, International Baccalaureate Diploma Programme (IB DP), High School/Secondary Diploma Programs at Indus International School Bangalore (IISB)
Bachelor of Science in Computer Science, Honors, AI and CS, Bachelor of Science in Computer Science, Honors, AI and CS at University of Massachusetts Amherst
The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.
Contributions:11 releases, 19 reviews, 35 PRs in 5 months
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Jesai Tarun - Founder & Developer, Sentient OS (won 3000 Grant Applying To YC S26 & A16z Speedrun) at Bliss AI