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Gandharv Patil

Reinforcement Learning - Deep learning

Gandharv Patil is a dedicated graduate student at McGill University and Mila, focusing on Reinforcement Learning, Stochastic Approximation, and Probabilistic Inference. With a background in Electrical and Computer Engineering from McGill University, he excels in research and academia. Prior to his current endeavors, Gandharv has gained valuable experience as a Student Researcher at Mila, a Graduate Teaching Assistant at McGill University, a Research Intern at Microsoft, a Software/Controls Engineer at KPIT, and as a Project Intern at both Henghui Electronics and SS Controls. His educational journey includes a remarkable academic record, including a Master's degree in Electrical and Computer Engineering with a perfect GPA of 4.0/4.0, and a Bachelor of Engineering in Electronics and Telecommunication with First Class Distinction and a GPA of 3.7/4.0 from Savitribai Phule Pune University.

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Location

Toronto, Ontario, Canada