About Me

Hey there, I'm Jeffrey!

Welcome to my spot on the web for the projects I've created — a compilation of the things I've learned over the years. I really love building things — mostly software, but I have also occasionally dabbled with the world of hardware. I'm still discovering new things within the field of technology and on a mission to learn it all, from computer architecture to machine learning.

Education

Data Science, Electrical Engineering and Computer Science (2019-2022)

Relevant Courses: Structure and interpretation of computer programs (CS61A), Data structures (CS61B), Machine structures (CS61C), Discrete math (CS70), Designing information systems and devices (EECS16A + EECS16B), Computer security (CS161), Algorithms (CS170), Database systems (CS186), Artificial intelligence (CS188), Machine learning (CS189), Principles and techniques of data science (DATA100), Probability (DATA140), Optimization (INDENG160), Linear programming (INDENG162), Digital design and integrated circuits (EECS151)

Experience

Software Development Engineer
I work on making the Amazon shopping experience on the website and mobile app completely profile-aware, meaning multiple people can share a single account and each will have different, personalized shopping recommendations. My role requires working on a wide range of tasks, including fullstack development, mobile development, as well as data engineering.
  • Technologies used: Java, JavaScript, TypeScript, ReactJS, React Native, Objective-C, Scala, SQL, Apache Spark, AWS
Software Engineering Intern (Summer 2023)
MajorBoost is a startup spun out of the Allen Institute for AI that focuses on automating/reducing the routine calls doctors' offices have to make to insurance companies. I embraced a diverse set of responsibilities, which included designing + implementing a wizard to assist clients with data uploads and building an internal testing tool to help validate system scalability.
  • Technologies used: C#/.NET, SQL, AWS, Apache Kafka, WebSockets
Software Development Engineer Intern (Summer 2022)
I worked under the Profiles Team at Amazon, at the same time collaborating closely with the Core Recommendations Team. I delivered new Amazon mobile app widget that shows gift recommendations using data from other profiles under the same account (e.g. Violet would see a recommendation widget titled "Gifts for Stanley").
  • Technologies used: Java, TypeScript, AWS