About Me

Hiya! I'm Kanaad. I'm a senior at the University of California, Berkeley studying Electrical Engineering and Computer Science.

From building high throughput systems to process ad requests at Quantcast, to solving traffic with Berkeley Deep Drive, I'm always up for a challenge.

I spend my free time swimming, throwing hackathons, and cheering for the Cleveland Cavaliers and my beloved Ohio State Buckeyes.

You can catch me in Berkeley, eating a snack burger at The Snack Shack, sipping on Blue Bottle Coffee, drinking boba from U-Cha, or playing Ultimate Frisbee with my IM team, FrEECS.

My UC Berkeley Experience

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Academic Experience

In May 2018, I was awarded the Arthur M. Hopkin Award.

I conduct research with Prof. Alex Bayen investigating the applications of reinforcement learning to teams of autonomous vehicles. We're working on Flow: A framework for control and deep reinforcement learning in traffic.

I was previously a course reader for both CS189: Introduction to Machine Learning under Prof. Anant Sahai, and for EE126: Probability and Stochastic Processes under Prof. Kannan Ramchandran. Currently, I am TA'ing EE126!

Go bears! 🐻

Industry Experience

Lyft Level 5: Summer 2018 // Palo Alto, CA

I worked on Lyft's self-driving car as part of the software platform tools team. I helped improve and create plugins for Lyft's onboard visualization service, Carviz, learning a lot about writing fault-tolerant, production grade C++ code. Despite my proximity to Stanfurd, I enjoyed longboarding and Lyfting my way around Silicon Valley.

Quantcast: Summer 2017 // San Francisco, CA

I used AWS services to build system for processing stream of real-time advertising events while eating my way through San Francisco, exploring all the hidden gems in and around the Bay.

IBM: Summer 2016 // Dublin, OH

I developed a file transfer system between IBM’s cloud commerce platforms and Box.com while playing basketball in the summer heat and enjoying my mom's delicious cooking.