Sarthak Srinivas

Cofounder at Quantstruct, ex-Moveworks PM, AR/ML researcher

San Francisco, California

adapt+1

Joined February 2025

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Summary

Sarthak is an entrepreneurial leader with a strong technical background in AI and AR/ML. He has co-founded Quantstruct, an AI documentation engineer startup, demonstrating his ability to identify and solve real-world problems for developers and contribute to the Y Combinator ecosystem. ycombinator+2

His experience as a Product Manager at Moveworks highlights his capability in building agent developer platforms and driving significant revenue, showcasing a blend of product vision and execution excellence in the enterprise AI space. adapt+1

Sarthak's academic foundation in Computer Science from Georgia Institute of Technology, coupled with extensive research in Wearable Computing and Augmented Reality, underscores his deep technical expertise and contributions to frontier technologies, including co-authoring academic papers. adapt+2

He possesses a global perspective, having lived in various countries including India, Indonesia, Nigeria, Canada, and the United States, which enriches his understanding of diverse markets and pain points in building solutions. sarthaksrinivas+1

Work

Education

Projects

Writing

Passive Haptic Rehearsal for Accelerated Piano Skill Acquisition

March 1, 2022

A study on the application of passive haptic rehearsal to accelerate the learning of piano playing skills, suggesting that haptic feedback can aid in sensorimotor skill acquisition with minimal active attention.

dl.acm.org

Towards Finding the Optimum Position in the Visual Field for a Head Worn Display Used for Task Guidance with Non-registered Graphics

March 1, 2021

An academic paper exploring the optimal placement of visual information in head-worn displays to effectively guide users through tasks without precise graphic registration.

dl.acm.org

Tactile Taps Teach Rhythmic Text Entry: Passive Haptic Learning of Morse Code

January 1, 2016

A research paper investigating the use of passive haptic learning for teaching Morse code, demonstrating that tactile feedback can effectively facilitate the acquisition of rhythmic text entry skills.

charm.stanford.edu