Aarti Bagul
Strategic Pursuits
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAarti Bagul is a strategic solutions architecture leader with a decade of experience taking AI projects from research and PoC to production for Fortune 500 enterprises. Currently leading Strategic Pursuits at OpenAI, she previously built and scaled global solutions engineering and applied ML teams at Snorkel AI that supported major banks, insurers, and telecoms. Her career bridges hands-on ML engineering, product strategy, and venture-facing roles—having worked closely with Andrew Ng across AI Fund, Landing AI, and Stanford’s deep learning program. She has a strong research pedigree in medical ML, contributed to the open-source Vowpal Wabbit project while at Microsoft Research, and co-developed the modernized Machine Learning course that reached hundreds of thousands of learners. Comfortable operating at the intersection of technical execution and go-to-market motion, she combines rigorous academic training from Stanford and NYU with repeatable success scaling applied-AI teams.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at New York UniversityBachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at New York University - Polytechnic School of EngineeringMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
English, Hindi, Marathi
Github Skills (7)
memory-management10
c-language10
cprogramming-language10
machine-learning9
elearning8
data-structure7
data-structures7
Programming languages (6)
Github contributions (5)
VowpalWabbit/vowpal_wabbit
Jun 2016 - Nov 2016
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:75 commits, 7 PRs, 12 comments in 5 months
Contributions summary:Aarti's commits focus on making improvements to the underlying code of the Vowpal Wabbit machine learning system. They have refactored code by switching to `calloc` from `new` to manage memory allocation. The user also made structural changes by moving the `stride_shift` to struct `vw`. These changes demonstrate an understanding of the code's memory management and optimization.
hashingtechniquescpppythonactive-learning
aartibagul/Source-Separation
Nov 2015 - Feb 2016
Contributions:35 commits, 38 pushes, 1 branch in 3 months
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