Siddhartha Jonnalagadda
Research Scientist in AI
United States
Summary
🤩
Rockstar🎓
Top SchoolSiddhartha Jonnalagadda is a Research Scientist in AI with 13 years of experience at the intersection of LLMs, conversational AI, NLP, and deep learning, having held leadership roles at Google, Amazon, and Microsoft as well as faculty appointments at Mayo Clinic, Northwestern, and UC Berkeley. He blends industrial R&D and academic rigor, evidenced by over 100 peer-reviewed papers and patents and a PhD in Biomedical Informatics focused on NLP. Siddhartha contributes to open-source ML projects (including deep reinforcement learning course assignments and tooling) and brings hands-on expertise in implementing and debugging core ML utilities. Known for translating cutting-edge research into practical applications across AI verticals, he also maintains a public presence for deeper technical context at sidjreddy.com.
13 years of coding experience
Doctor of Philosophy Biomedical Informatics w/ specialization in Natural Language Processing, Doctor of Philosophy Biomedical Informatics w/ specialization in Natural Language Processing at Arizona State UniversityBachelor of Technlogy Honors Computer Science and Engineering, Bachelor of Technlogy Honors Computer Science and Engineering at Indian Institute of Technology, Kharagpur
Telugu, Hindi, English
Github Skills (9)
gymnasium10
openai-gym10
deep-reinforcement-learning10
machine-learning10
tensorflow10
python10
reinforcement-learning10
numpy9
box2d7
Programming languages (3)
Github contributions (5)
berkeleydeeprlcourse/homework
Aug 2018 - Sep 2018
Assignments for CS294-112.
Role in this project:
ML Engineer
ML EngineerContributions:11 commits, 3 PRs, 7 pushes in 1 month
Contributions summary:Siddhartha primarily contributes to a reinforcement learning homework assignment within a deep reinforcement learning course. The first commit initializes a core utility file (`tf_util.py`) containing TensorFlow-related functions for use within the project. Subsequent commits include fixes and modifications to the demo script, as well as posting the third homework assignment (hw3/lunar_lander.py), which likely involves implementing and training a reinforcement learning agent. Finally, the user fixes a compatibility issue in the LunarLander environment.
rddy/leitnerq
Feb 2016 - Feb 2022
A queueing network model for spaced repetition
Contributions:1 release, 32 commits, 4 PRs in 6 years
spaced-repetitionrepetitionqueueingspaced
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