Yash Aggarwal
Traveler at TIME
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolYash Aggarwal is a multidisciplinary engineer and researcher based in the San Francisco Bay Area with nine years of experience spanning software, machine learning, and quantitative trading. Currently exploring constrained work at TIME and conducting reinforcement learning and robot learning research at UC Berkeley’s BAIR lab, he blends rigorous academic training (EECS Honors, Applied Math, and Data Science at Berkeley) with hands-on industry internships at Apple, Jane Street, and Kohl’s. He’s taught discrete mathematics and probability as a TA, bringing clear technical communication to complex topics, and has applied ML in production-adjacent settings like automatic data labeling and startup ML engineering. Comfortable moving between research codes and production constraints, Yash pairs a quantitative trading mindset with robotics and RL curiosity—an uncommon mix that helps translate theory into practical systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering and Computer Sciences (Honors Program), Bachelor of Science - BS Electrical Engineering and Computer Sciences (Honors Program) at University of California, Berkeley
English, Hindi, Telugu, Odia
Github Skills (11)
installer8
swarm7
linux5
docker5
docker-swarm4
jsonnet3
mod-manager2
database-access2
kernel2
extensible1
operating-system1
Programming languages (4)
Github contributions (5)
arshiagg/install
Jul 2017 - Aug 2017
Contributions:13 pushes, 3 branches in 1 month
installerlinuxcontiv
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