Rakesh Menon
Applied Scientist at Adobe
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolRakesh Menon is an applied scientist with a decade of experience at the intersection of reinforcement learning, computer vision, and deep learning, currently designing agentic workflows for enterprise applications at Adobe. He recently completed a PhD in Computer Science at UNC Chapel Hill and has a track record of turning research ideas—3D inverse graphics for pose and imitation, differential-geometric RL formulations, and NL2SQL user-feedback mechanisms—into practical systems via internships and research roles at CMU, Microsoft, Bosch, and IBM. At Adobe he leads feature design and iterative evaluation of agents for structured-data information discovery, building on prior work that operationalized user corrections to improve model SQL generation. His background spans both foundational research and product-focused engineering, with repeated emphasis on low-resource and weakly-supervised NLP methods and efficient handling of large natural-language action spaces. Based in San Jose, he blends academic rigor with enterprise delivery, and is particularly skilled at translating complex geometric and language-aware ML techniques into deployable agent behaviors.
9 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology MadrasHigh School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at National Public School Indiranagar BangaloreDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of North Carolina at Chapel HillMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Massachusetts Amherst
English, Malayalam, Hindi
Github Skills (26)
pattern9
acl9
computational-linguistics9
phonetics9
natural-language-processing8
nlp7
deep-reinforcement-learning6
reinforcement-learning6
deep-learning5
dynet5
pytorch5
depth-estimation4
openai4
siggraph4
tensorflow3
Programming languages (3)
Github contributions (5)
rrmenon10/ADAPET
Mar 2021 - Apr 2022
[EMNLP 2021] Improving and Simplifying Pattern Exploiting Training
Contributions:27 commits, 5 PRs, 22 pushes in 1 year
nlpexploitingsimplifyingtrainingimproving
rrmenon10/rrmenon10.github.io
Nov 2016 - Oct 2020
Contributions:29 pushes, 1 branch in 3 years 11 months
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