Passionate about technology, development, and innovation. Interested in software engineering, API development, data science, big data, natural language processing, and deep learning.
Associate Member of Technical Staff
San Francisco, CA · January 2021 - Present
Software Engineering Intern
San Francisco, CA · June 2020 - August 2020
UC Berkeley Electrical Engineering & Computer Sciences
CS61B Academic Intern
Provide guidance and answer questions for students in lab section
Berkeley, CA · January 2020 - May 2020
Backend Engineer Intern
Mountain View, CA · June 2019 - December 2019
Big Data Developer Intern
SAP iXp Internship Program, Enterprise Data Hub Team
Sunnyvale, CA · June 2018 - August 2018
Software Developer Intern - Jiva - Palo Alto, CA · June 2015 - December 2015
Student Researcher - COSMOS Program at UC Irvine - Irvine, CA · June 2013 - August 2013
University of California, Berkeley
Computer Science Major, Data Science Minor
Berkeley, CA · August 2016 - December 2020
Palo Alto High School
Palo Alto, CA · August 2012 - June 2016
Computer Science Classes
CS Capstone Project - Senior Year
AP Computer Science - Junior Year (HiVolts Project)
Advanced Java - Sophomore Year
Intro to Java - Freshman Year
Data Science Classes
CSW182 - Designing, Visualizing, and Understanding Deep Neural Networks - Spring 2020 (Robust and Generalizable Computer Vision Classification Paper)
May 14, 2020
We created a robust computer vision classifier that performs well in a dataset that contains perturbations. To achieve this, we used various data augmentation and other deep learning model techniques, such as model ensembling, image denoising, adversarial training, and attention networks. These methods helped improve the robustness against both naturally perturbed and adversarial datasets. In addition, we created class action map visualizations for our models to help understand how the model makes its classification decisions. Through these techniques, we achieved a 71.1% Top 1 Accuracy and 90.0% Top 5 Accuracy on the Tiny-ImageNet classification challenge.
Worked with a project group to build a compiler for the ChocoPy language. Completed lexing & parsing, semantic analysis, and code generation parts.
Implemented distributed routing (for example distance-vector routing) & transport algorithms.
Built a chatbot using an encoder-decoder model for the final project in Info 159. Utilized Python and Keras.
More projects listed here: Project Showcase
Software Engineering, Big Data, NLP, Microservices, Backend Engineering, Data Science, Deep Learning, Cloud Computing
Last Updated: January 2021