Aman Kansal
Member Of Technical Staff at xAI
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAman Kansal is a machine learning engineer with eight years of experience, currently building long-horizon tool-calling systems at xAI after leading deep research agents as an early engineer at Parallel. He holds an MS in Computer Science (AI) from Stanford and a BS from IIT Bombay, and his AI research has been published at top venues including NeurIPS and ICASSP. Aman combines production-focused engineering—speeding systems 3x and improving P/R on privacy models—with academic rigor from multiple Stanford teaching and head TA roles, including CS 230 with Andrew Ng. Based in Palo Alto, he has practical experience from startups to large engineering teams (Samsung) and a knack for translating research into robust product features like language-model-driven anonymization. Colleagues describe him as driven by complex technical challenges and keen to collaborate on research-forward engineering problems.
8 years of coding experience
3 years of employment as a software developer
High School, Science - Physics, Chemistry, and Mathematics, High School, Science - Physics, Chemistry, and Mathematics at Cambridge Court High School - IndiaIndian Institute of Technology BombayMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Hindi, English, Korean
Github Skills (46)
browser-automation10
ai-agent9
python9
llm9
audio9
playwright9
nlp8
natural-language-processing8
asr8
speech-synthesis8
squad8
pytorch8
machine-translation7
automatic-speech-recognition7
speech7
Programming languages (4)
Github contributions (5)
kansalaman/kansalaman.github.io
Jan 2021 - May 2022
Contributions:6 pushes, 1 branch in 1 year 4 months
kansalaman/grammar-in-prolog
Sep 2018 - Mar 2020
Contributions:4 pushes, 1 branch in 1 year 6 months
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