Abhishek Bhowmick

Co-Founder

San Francisco, California, United States14 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Co-founded Samooha, acquired by Snowflake.
Led ML Privacy at Apple for 1B+ users.
Invited speaker at IAS for solving a 30-year math problem.

Stackforce AI infers this person is a leader in Data Privacy and Machine Learning across SaaS and Fintech industries.

Contact

Skills

Core Skills

Data PrivacyAi/mlBusiness DevelopmentMachine LearningFinancial Analysis

Other Skills

data collaborationAI/ML Privacy & Securitybusiness strategycryptographydifferential privacyfederated learningsecure multi-party computationend-to-end encryptiondata analyticsportfolio optimizationfinancial modelingprivacy enhancing technologies

About

Co-Founded Samooha (acq. Snowflake), secure data collaboration for enterprises. Spearheaded AI/ML Privacy & Security, Apple 5+ yrs (1B+iPhones). 2-time invited speaker at IAS, Princeton (home to Einstein, von Neumann) for resolving 30yr open math problem. Links below.

Experience

14 yrs 2 mos

Total Experience

2 yrs 10 mos

Average Tenure

3 yrs 9 mos

Current Experience

Samooha

Founder, CTO (acq. Snowflake)

Jul 2022 – Present · 3 yrs 9 mos · San Francisco Bay Area

Fast Company's Most Innovative Companies 2024 https://www.fastcompany.com/91036308/samooha-most-innovative-companies-2024
CNBC Featured
Business Insider Coverage https://www.businessinsider.com/snowflake-enhances-clean-room-tech-after-samooha-acquisition-2024-3
AdExchanger Coverage: https://www.adexchanger.com/ad-exchange-news/samooha-is-angling-to-create-an-easy-button-for-data-clean-rooms/
Acq. by Snowflake
TechCrunch: https://techcrunch.com/2023/12/18/snowflake-goes-all-in-on-data-clean-rooms-with-samooha-acquisition/
Axios: https://www.axios.com/pro/media-deals/2023/12/18/snowflake-acquires-samooha

data collaborationAI/ML Privacy & SecurityData PrivacyAI/ML

Apple

Head, ML Privacy and Cryptography, System Intelligence & Machine Learning

Jan 2017 – Jun 2022 · 5 yrs 5 mos · Cupertino, California

Led the ML Privacy and Cryptography team that shipped a privacy preserving data/ML platform that runs at a scale of 1B+ users. Key deployed technologies include secure multi-party computation (MPC), differential privacy, federated intelligence, end-to-end encryption, and secure enclave computation. Showcased in Apple's main privacy page https://www.apple.com/privacy/approach-to-privacy/.
Recently deployed the largest secure MPC analytics platform as part of COVID-19 Exposure Notifications, in partnership with Google. Whitepaper at https://covid19-static.cdn-apple.com/applications/covid19/current/static/contact-tracing/pdf/ENPA_White_Paper.pdf
For Differential Privacy see white paper at https://www.apple.com/privacy/docs/Differential_Privacy_Overview.pdf
and https://machinelearning.apple.com/2017/12/06/learning-with-privacy-at-scale.html
For Federated Learning, see https://arxiv.org/abs/1812.00984

machine learningcryptographydifferential privacyfederated learningsecure multi-party computationend-to-end encryption+2

Goldman sachs

Machine Learning Strategist

Jan 2015 – Jan 2017 · 2 yrs · New York City, New York

Developed an ML-based portfolio returns optimization framework in Goldman Sachs that identified significant capital savings across the $1T+ balance sheet of the firm

machine learningportfolio optimizationMachine LearningFinancial Analysis

Princeton university

Research Fellow

Jan 2011 – Jan 2013 · 2 yrs · Princeton, New Jersey, United States

2-time invited speaker at IAS (home to Einstein, von Neumann, Godel) for solving a 30+ year open problem in information theory (1977). Links below.
Full version Paper - https://arxiv.org/pdf/1506.02047.pdf
IAS Invited Talk - https://www.ias.edu/video/csdm/2015/1207-AbhishekBhowmick
Older IAS Invited Talk - https://www.ias.edu/video/csdm/bhowmick