Shivam Singhal
Student Researcher at Deep Learning Fundamentals
College Station, Texas, United States
Summary
👤
Senior🎓
Top SchoolShivam Singhal is a researcher-engineer focused on making AI transparent and reliable, with 11 years of experience spanning quantitative research and applied machine learning across finance and healthcare. He has worked as a Quantitative Researcher at JPMorgan Chase and held engineering internships at Zomato and Qure.ai, and is currently a Student Researcher collaborating with Dr. Tomer Galanti on interpretable deep learning research. Combining an Electrical Engineering background from IIT Kanpur with graduate studies in Computer Science at Texas A&M, he bridges rigorous theory and production-minded implementation. Known for probing where "black boxes" fail, he brings a pragmatic emphasis on predictability and robustness to models deployed in high-stakes settings.
11 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology KanpurMasters, Computer Science, Masters, Computer Science at Texas A&M University
English, Hindi
Github Skills (200)
vim10
chat10
backup10
database-management10
application-settings10
linux10
emacs-lisp10
argon10
productivity-tools10
emacs10
postgresql-database10
database-access10
llama10
particle10
javascript9
Programming languages (19)
Github contributions (5)
shivams/ted-playlist-downloader
Sep 2015 - Jul 2017
Contributions:6 commits, 4 pushes, 1 branch in 1 year 10 months
shivams/zim-tag-autocompletion
Aug 2019 - Jul 2022
Tag autocompletion plugin for Zim Wiki
Contributions:8 commits, 2 PRs, 4 pushes in 2 years 10 months
autocompletionwikizimzig
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