Shashanka Subrahmanya
Graduate Student Researcher
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolShashanka Subrahmanya is a researcher-engineer who blends a decade of software development with graduate-level psychology to apply AI methods to human-centered problems. With an MS in Computer Science from USC and current PhD work at Stanford, he has built practical ML systems—from FPGA memory optimization and compiler-level improvements to interpretable NLP models using BERT and Captum. At Stanford HAI he has combined teaching and research, exposing subtle evaluation pitfalls in topic modeling and proposing contextual-embedding–based remedies. Based in Palo Alto, he pairs rigorous engineering (LLVM, system optimizations) with behavioral science, uniquely positioning him to translate cognitive questions into robust AI experiments and reproducible code.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, 3.67, Master of Science - MS, Computer Science, 3.67 at University of Southern CaliforniaBachelor of Engineering - BE, Computer Science, 8.96, Bachelor of Engineering - BE, Computer Science, 8.96 at Sri Jayachamarajendra College Of EngineeringDoctor of Philosophy - PhD, PSYCHOLOGY, Doctor of Philosophy - PhD, PSYCHOLOGY at Stanford University
English, Hindi, Kannada, Tulu
Github Skills (7)
computational-linguistics9
social-media9
topic-modeling9
nlp8
python7
rust1
binary-tree1
Programming languages (5)
Github contributions (5)
shshnk94/RUBER
Feb 2019 - Apr 2021
Contributions:33 pushes, 1 branch in 2 years 3 months
shshnk94/dlatk
Feb 2022 - Mar 2025
End to end human text analysis package, specifically suited for social media and social scientific applications. It is written in Python 3 and developed by the World Well-Being Project at the University of Pennsylvania and Stony Brook University.
Contributions:18 pushes, 10 branches in 3 years 1 month
nlppythonend-to-endpennsylvaniabrook
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