Yash Chandak is a research-focused machine learning engineer with 11 years of experience, currently a Member of Technical Staff at Cohere in Palo Alto. He holds a PhD in Computer Science from UMass Amherst and completed a postdoc at Stanford under Emma Brunskill, specializing in reinforcement learning research. His background includes research internships at DeepMind and Adobe, reflecting a track record of contributing to cutting-edge RL and ML projects in both industry and academia. Yash combines strong theoretical grounding with practical experimentation, having worked across diverse research labs and applied settings since early internships at DRDO and Microsoft. Based in Silicon Valley, he brings a habit of rapidly translating research ideas into prototypes and collaborates effectively with interdisciplinary teams. An uncommon thread in his trajectory is the steady progression from hardware-adjacent research roles to leadership-level applied ML engineering at scale.
11 years of coding experience
2 years of employment as a software developer
high school graduate, Science with computers, high school graduate, Science with computers at M.P.Birla Foundation Higher Secondary School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
Student, Computer Science and Engineering, Student, Computer Science and Engineering at Vellore Institute of Technology, Chennai
Postdoctorate, Artificial Intelligence, Postdoctorate, Artificial Intelligence at Stanford University
Contributions:4 commits, 1 PR, 3 pushes in 1 year 10 months
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Yash Chandak - Member Of Technical Staff at Cohere