Sahaj Garg

Co-Founder

San Francisco, California, United States7 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Raised $56M for innovative voice technology.
Led AI team in supercomputing advancements.
Published research in top AI conferences.

Stackforce AI infers this person is a SaaS and AI innovator with a strong research background.

Contact

Skills

Core Skills

Voice InterfacesFundraisingSupercomputingAiGenerative ModelsNlpQuantitative ResearchCognitive ScienceComputational Neuroscience

Other Skills

team leadershipsoftware developmentphotonic technologyAI engineeringresearchresearch methodologiesmachine learningtrading strategiesquantitative analysisvisual perceptiondata analysisneuroscience

About

What if you could control your computer with your voice? Stop typing, and start speaking with Wispr Flow -- starting with blazing fast, context aware voice dictation, and building towards controlling your computer just by speaking! We're hiring! Come join us: jobs.wisprflow.ai

Experience

Wispr

Co-Founder/CTO

Aug 2021 – Present · 4 yrs 8 mos

Raised $56M from top VCs like Menlo Ventures, NEA, 8VC, and Neo to build the best voice interfaces in the world.
Get started for free: www.wisprflow.ai

voice interfacesfundraisingteam leadership

Luminous computing

2 roles

AI Team Lead

Promoted

Sep 2020 – Feb 2021 · 5 mos

Building the world's largest supercomputer on a chip using photonics. Backed by Bill Gates, Luke Nosek (Gigafund), and Ali Partovi (Neo).
First AI engineer and AI team lead, working on HW/SW co-design.

supercomputingphotonic technologyAI

AI Engineer

Oct 2019 – Sep 2020 · 11 mos

Google

Software Engineering/Research Intern

Jun 2018 – Sep 2018 · 3 mos · Greater New York City Area

NLP research in ML fairness with the Google Brain team, published in AAAI-AIES.

NLPmachine learning

Stanford university

Research Assistant (Stanford AI Lab)

Mar 2018 – Oct 2019 · 1 yr 7 mos

Early research in score-based generative models (diffusion models), advised by Stefano Ermon. Published in UAI 2019 and ICLR 2021.

generative modelsresearch

Jane street

Quantitative Research/Trading Intern

Jun 2017 – Sep 2017 · 3 mos · Greater New York City Area

Research in adverse selection, trading of Chinese index options.

quantitative researchtrading strategies

Research science institute

Cognitive Science Researcher

Jul 2015 – Aug 2015 · 1 mo · Massachusetts Institute of Technology

Studied limits of visual perception of animations with Prof. Jeremy Wolfe at Harvard Medical School, published in the Journal of Experimental Psychology in 2019.

cognitive sciencevisual perception

Columbia university in the city of new york

Computational Neuroscience Research Intern

Aug 2014 – Sep 2014 · 1 mo · New York

Analyzed DTI (Diffusion Tensor Image) data of rhesus macaques to understand the effects of serotonin on brain growth before and immediately after birth. First-author submission accepted to International Society for Developmental Neuroscience (ISDN) 2017 conference.

computational neurosciencedata analysis