Suhail Alsalehi

Consultant at Bain & Company

Canada
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Summary

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Senior
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Top School
Suhail Alsalehi is a systems engineer and consultant with 8 years of interdisciplinary experience spanning systems engineering, mechatronics, CubeSat development, and strategy consulting at Bain & Company. Currently a PhD candidate at Boston University, his research bridges deep learning, reinforcement learning, optimization, and formal methods to advance control and learning for cyber-physical and bio-CPS applications. He has led AI and innovation strategy work at the Clinton Health Access Initiative and driven operations and GenAI adoption for clients in financial services and consumer sectors. A natural systems thinker, Suhail combines academic rigor with practical implementation, often approaching problems through a bespoke problem-solving framework he developed. Outside work he pursues ideas from social sciences and philosophy, and applies the same experimental curiosity to urban gardening and brewing kombucha. Open to part-time roles in strategy consulting, CTO positions at startups, or ML/control roles in larger organizations.
code8 years of coding experience
job1 year of employment as a software developer
bookBS with honors Mechatronics, BS with honors Mechatronics at Bauman Moscow State Technical University
bookVisiting Student Space Systems Engineering, Visiting Student Space Systems Engineering at Massachusetts Institute of Technology
bookMS with honors Space and Engineering Systems, MS with honors Space and Engineering Systems at Skolkovo Institute of Science and Technology
bookDoctor of Philosophy - PhD Systems Engineering, Doctor of Philosophy - PhD Systems Engineering at Boston University
languagesArabic, English, Russian, German, Spanish
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Github Skills (17)

edtech7
open-source7
multiagent-systems7
actor-critic5
actor5
paper5
multi-agent5
mahjong5
simulator4
agent4
deep-learning3
tensorflow3
reinforcement-learning3
control-systems3
simulation3

Programming languages (2)

TeXPython

Github contributions (5)

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SuhailSama/MR_RL

Jul 2022 - Nov 2022

Gym Simulator for Magnetic Micro Robots
Contributions:20 commits, 17 pushes, 2 branches in 3 months
magneticdeep-learningreinforcement-learningmahjonggymnasium
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
Contributions:6 pushes in 1 month
pytorchpolicymultiagent-reinforcement-learningagentgradients
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Suhail Alsalehi - Consultant at Bain & Company