Dhruv Sreenivas
Graduate Researcher
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolDhruv Sreenivas is a gradient-driven researcher and engineer with a decade of experience focused on deep reinforcement learning, imitation learning, and generative modeling. Currently a graduate researcher at Mila and a PhD student in computer science, he has driven sample-efficient RL/IL research and contributed to projects bridging diffusion models and control. His industry internships at Cohere, Apple, and AWS involved RL for foundation-model agents, multistep reasoning for LLMs, and applied ML systems work, giving him a rare blend of theoretical depth and production-oriented experience. At Cornell he combined research and teaching across RL, adversarial imitation learning, and self-predictive methods for image-based control, and has worked with leaders like Doina Precup, Yoshua Bengio, and Pablo Samuel Castro. Colleagues describe him as someone who moves fluidly between mathematical rigor and practical system-building, often surfacing simple representations that make complex control and generative tasks tractable.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Mila - Quebec Artificial Intelligence InstituteConcord AcademyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Cornell University
English, Tamil, Spanish
Github Skills (25)
python10
machine-learning10
deep-learning10
data-science9
tensorflow9
neural-network9
actor-critic8
cql8
dqn8
ddpg8
deep-neural-networks8
sac8
ml8
mujoco8
hydra7
Programming languages (2)
Github contributions (5)
dhruvsreenivas/byol-offline
Jul 2022 - Feb 2023
Contributions:57 commits, 53 pushes in 7 months
dhruvsreenivas/jax_sandbox
Jan 2021 - Dec 2023
Contributions:22 pushes, 2 branches in 2 years 11 months
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