Rishabh Iyer
Research Scientist
Summary
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SeniorRishabh Iyer is an assistant professor and machine learning researcher with a decade of experience building intelligent systems that organize, analyze, and summarize large-scale data across images, video, text, search, and advertising. He earned a Ph.D. in Machine Learning from the University of Washington and combines empirical and algorithmic approaches to develop efficient, robust learning methods that work with limited labels and under adversarial, noisy, or covariate-shifted conditions. His work—recognized with best paper awards at top conferences and fellowships from Microsoft and Facebook—focuses on practical problems like data summarization, robust classification, and information retrieval. Based in the Dallas–Fort Worth area, he balances academic leadership at UT Dallas and visiting roles at IIT Bombay with industry-facing research advising, signaling a strong track record of translating theory into applied ML solutions.
10 years of coding experience
Github Skills (38)
ssl10
encryption10
decryption9
crypto9
cryptography9
ranking9
openssl9
automatic9
symbolic-execution8
dpdk8
react8
computer-science8
science8
verification8
fastclick8
Programming languages (8)
Github contributions (5)
rishabh246/klee
Nov 2018 - May 2020
KLEE Symbolic Virtual Machine. patched for Bolt needs
Contributions:6 PRs, 78 pushes, 4 branches in 1 year 5 months
kleevirtual-machine
bolt-perf-contracts/klee
May 2020 - Nov 2022
KLEE Symbolic Execution Engine
Contributions:10 reviews, 10 PRs, 51 pushes in 2 years 6 months
kleesymbolic-execution-engine
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