about me
blurb
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.
experience
Ejenta
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
Amazon
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
