about me


A heaping handful of excited energy, a dash of disorganization, two and half teaspoons of minimalism to balance, and most importantly, a few healthy pinches of wishes, whimsy, and wonder.

Stir for a while, and you get a UC Berkeley graduate student named Tony. I love learning, building, and getting lost. (Hopefully in something interesting)

story of my life

I recieved my B.S. in Electrical Engineering and Computer Science (EECS) at UC Berkeley, where I’m currently obtaining a M.S. in the same field, with a focus in artificial intelligence and computer vision. I love deep learning and neural networks, working with Professor Gerald Friedland. I’ve worked in many different contexts, from being the only engineer at a tiny startup to an intern at Amazon.

I am a believer in pythonic code, trusting that code (especially artificial intelligence algorithms!) should be readable, concise, and explainable.

In my time outside of coding, I enjoy reading, hiking, playing Gwent, and taking care of my cute plants.



Feb 2020 – Present
Software Engineer

  • Operated full stack to build microservices/interfaces in Java, Scala, Node, and React
  • Worked in Python to create data pipelines and interfaces to visualize intelligent systems
  • Developed custom care plans for patients at risk for health complications using proprietary NASA software


May 2019 - August 2019
Software Development Engineer, Intern

  • Designed and implemented launch-critical API interface for general release of Amazon Personal Shopper
  • Augmented backend architecture to facilitate efficient data retrieval addressing multiple use cases
  • Built customer-facing feature within Amazon Prime Wardrobe experience in Java

UC Berkeley

Jan 2019 – May 2019
Graduate Student Instructor, CS188

  • Taught ~700 students over three semesters for CS188, an upper-division artificial intelligence course
  • Directed development of contest platform site on top of MongoDB, Express.js, AngularJS, Node.js
  • Designed robust, auto-scaling web architecture to balance and handle computationally expensive loads


Zhao T., Choi J., Friedland G. (2020) “DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models.” International Conference on Multimedia Modeling (MMM2020).