Ali Saab
Member Of Technical Staff at OpenAI
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolAli Saab is a quantitative software engineer with nine years of experience building production-grade research and portfolio tools, now a Member of Technical Staff at OpenAI after leading quantitative research at Qtron Investments. He blends deep expertise in convex optimization, stochastic modeling, and numerical simulation—work honed at MIT and reflected in contributions like GPkit-style tooling—with hands-on engineering of back-testers and infrastructure using solvers such as MOSEK, Axioma and CVXPY. Comfortable moving ideas from robust academic formulations to scalable production systems, he has a track record of speeding up solvers, improving model accuracy, and operationalizing research signals. Based in Cambridge, MA, he pairs dual bachelors in Mechanical Engineering and Mathematics with an MIT master’s in Computational Science, enabling a rare mix of theoretical rigor and practical software craftsmanship.
9 years of coding experience
11 years of employment as a software developer
Master's degree Computational Science, Master's degree Computational Science at Massachusetts Institute of TechnologyBachelor's degree Mechanical Engineering, Bachelor's degree Mechanical Engineering at American University of Beirut
Arabic, English
Github Skills (20)
gps9
geometric9
statistics8
convex7
optimization7
modeling6
numerical-optimization6
convex-optimization6
python6
aircraft4
solar4
embedded4
subsystem4
mathematical-optimization3
machine-learning3
Programming languages (4)
Github contributions (5)
alisaab/l0bnb
Mar 2019 - Apr 2021
Contributions:11 releases, 123 commits, 22 pushes in 2 years 1 month
convexengineering/robust
Mar 2017 - May 2019
Tools for robust formulations of GPs and SPs.
Contributions:251 commits, 3 PRs, 174 pushes in 2 years 2 months
spsstatisticsgps
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