Eytan Bakshy
Director at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolEytan Bakshy is a research-driven engineering leader with 12+ years building and scaling adaptive experimentation and applied AI teams at Meta, where he led development of industry-leading tools like Ax and BoTorch and helped grow a cross-functional org from scratch. He specializes in sample-efficient AI—Bayesian optimization, contextual bandits, reinforcement learning—and causal inference, translating advanced methods into production services used across Facebook, Instagram, WhatsApp and Reality Labs. A PhD from the University of Michigan, he combines deep academic publication experience with hands-on implementation (including contributions to the popular PlanOut experiment language) and a history of shipping experiments that materially influence product goals. Known for turning methodological research into practical tooling, he now helps launch an Applied AI org focused on improving agents through smarter data collection in New York.
12 years of coding experience
13 years of employment as a software developer
Ph.D., Information, Ph.D., Information at University of MichiganB.S., Mathematics, Computer Science, B.S., Mathematics, Computer Science at University of Illinois Urbana-Champaign
Stackoverflow
6,035reputation
300kreached
4answers
2questions
Github Skills (14)
unit-testing10
interpreter10
python10
data-structure9
algorithm9
data-structures9
algorithms9
mapreduce6
hadoop6
plot6
apache-pig6
dataframe6
r6
package6
Programming languages (9)
Github contributions (5)
facebookarchive/planout
Jan 2014 - Mar 2019
PlanOut is a library and interpreter for designing online experiments.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:288 commits, 58 PRs, 67 pushes in 5 years 2 months
Contributions summary:Eytan primarily worked on implementing and improving the PlanOut interpreter, a library for online experiments. Their contributions include adding new operators like `Or`, `Min`, `Max`, and `Length`, which expanded the functionality of the language. They also addressed several bugs, such as issues with the `set` and `index` operators, and fixed an environment initialization bug, improving the interpreter's reliability. Additionally, the user created unit tests to ensure the correctness of the core operators within the interpreter.
online-experimentsplanoutguidelinesopenscienceprogramming-language
eytan/www-15-tutorial
May 2015 - Jul 2015
Contributions:23 commits, 2 PRs, 4 pushes in 1 month
sciencesocial-scienceonline-experimentscomputational-social-sciencecomputational
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