Mohammad Akbari
Machine Learning Engineer at Outlier
Kingston, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMohammad Akbari is a Machine Learning Engineer with a decade of experience and a PhD in Applied Mathematics, specializing in applied ML, control theory, and scalable production systems. He has built end-to-end fraud detection and personalization pipelines that materially reduced false positives and boosted engagement, and his research on online learning and reinforcement control delivered provable regret improvements and low-complexity algorithms. Comfortable moving between research and production, he implements MLOps, real-time scoring, and marketplace optimization using tools like TensorFlow, PyTorch, and Spark. As an AI trainer he has improved generative models’ mathematical reasoning and led dataset curation and red-teaming to increase robustness. Based in Kingston, Ontario, he combines rigorous theoretical insight with hands-on engineering to tackle complex, high-stakes ML problems.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Mathematics - Machine Learning & Control Theory, A+, Doctor of Philosophy - PhD, Applied Mathematics - Machine Learning & Control Theory, A+ at Queen's UniversityBachelor of Science (B.Sc.), Mathematics, Bachelor of Science (B.Sc.), Mathematics at Isfahan University of Technology
English, Persian, Arabic
Github Skills (21)
camera10
dji-sdk10
gimbal10
lidar10
robotics9
payload9
sdk8
callback7
slot7
observer-pattern6
trajectory-optimization6
rover6
mavlink6
dispatcher4
signal4
Programming languages (4)
Github contributions (5)
PooyaFekri/WorkshopManagementSystem
Dec 2019 - Jan 2020
Contributions:36 commits in 1 month
MH2033/Quadcopter-Flight-Controller
Sep 2020 - Oct 2020
Contributions:23 commits, 10 pushes, 1 branch in 26 days
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