Background

Passionate about technology, development, and innovation. Interested in software engineering, API development, data science, big data, natural language processing, and deep learning.

Experience

SalesforceSalesforce

Software Engineer

Associate Member of Technical Staff

San Francisco, CA · January 2021 - Present

·

Software Engineering Intern

Monitoring Cloud

San Francisco, CA · June 2020 - August 2020



UC Berkeley Electrical Engineering & Computer SciencesEECS

CS61B Academic Intern

Provide guidance and answer questions for students in lab section

Berkeley, CA · January 2020 - May 2020



Livongo HealthLivongo Health

Backend Engineer Intern

Enterprise Integrations

Mountain View, CA · June 2019 - December 2019



SAP LabsSAP Labs

Big Data Developer Intern

SAP iXp Internship Program, Enterprise Data Hub Team

Sunnyvale, CA · June 2018 - August 2018



Additional Experience:

Software Developer Intern - Jiva - Palo Alto, CA · June 2015 - December 2015

Student Researcher - COSMOS Program at UC Irvine - Irvine, CA · June 2013 - August 2013

Education

University of California, BerkeleyUC Berkeley

Computer Science Major, Data Science Minor

Berkeley, CA · August 2016 - December 2020



Palo Alto High SchoolPalo Alto High School

Palo Alto, CA · August 2012 - June 2016

Coursework



Papers

Robust and Generalizable Computer Vision Classification CS182 Figure CS182 Report

May 14, 2020

Abstract:

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.

Links:

Paper, GitHub Repo

Projects

Compilers Project:Compilers Project Figure

Worked with a project group to build a compiler for the ChocoPy language. Completed lexing & parsing, semantic analysis, and code generation parts.

Link:

More Info



Network Routing Project:Network Routing Project Figure

Implemented distributed routing (for example distance-vector routing) & transport algorithms.

Link:

More Info

Seq2Seq Chatbot Project:Seq2Seq Chatbot Project Figure

Built a chatbot using an encoder-decoder model for the final project in Info 159. Utilized Python and Keras.

Link:

More Info

More projects listed here: Project Showcase

Awards

Languages & Frameworks

Languages:

Frameworks:

Interests

Software Engineering, Big Data, NLP, Microservices, Backend Engineering, Data Science, Deep Learning, Cloud Computing

Other Links



Last Updated: January 2021