About

M.S. Computer Science

• GPA: 4.0 / 4.0
• Research on Machine Learning and Static Ensemble Pruning

B.A. Computer Science

• GPA: 3.8 / 4.0
• Dean's List

B.A. Data Science

• GPA: 3.8 / 4.0
• Emphasis in Business and Industrial Analytics

Machine Learning Intern

May 2023 - Sep 2023

• Created machine learning models that learned the underlying data structure of any dataset and generated statistically-similar synthetic data, with support for numerical, categorical, ordinal, and timeseries data
• Designed all models (GAN, VAE, VQ-VAE) to be user customizable and generalizable for any dataset
• Packaged the models to be used in router error detection in Nokia Bell Labs

Research Intern

Sep 2022 - Present

• Worked on the CIRCLES initiative to develop a smart cruise controller for self-driving cars to reduce traffic congestion and improve fuel efficiency using deep reinforcement learning
• Developed a dashboard to visualize live traffic data, vehicle positions, and optimal anticipatory speeds
• Synthesized vehicle-based and highway-overview data to increase traffic profile accuracy and optimal vehicle speed precision

Graphics, Visuals, and Software Intern

Aug 2020 - Jul 2022

• Designed & developed (with JavaScript) the assignment portfolio for "Statistics 24" to showcase how visual variables affected data visualizations
• Maintained 5+ official UC Berkeley websites by updating content & resolving technical difficulties
• Facilitated data science internship enrichment programs, advising sessions, and career workshops

Software Engineer Intern

May 2022 - Aug 2022

• Deployed proof-of-concept A/B Testing and Feature Flagging software packages to measure and analyze the effectiveness of classification systems
• Prototyped Mturk (ML software division) software integration using AWS Lambda, API Gateway, and DynamoDB
• Designed application integration methods with AWS GRC2.0 user authentication tools

Undergraduate Researcher

Jan 2021 - May 2022

• Analyzed Euroscepticism in 25 years of EU oversight documentation to quantify policymaking bias in contemporary European politics
• Refined & created text-categorization algorithms for machine learning classification systems using Python & NLP

Engineering Intern

Mar 2019 - Jul 2019

• Symmetry Electronics is a subsidiary of Berkshire Hathaway and is a global semiconductor distributor
• Collaborated with management to streamline assembly code transfer onto 2000 data transmission modules
• Troubleshot faulty chips by running diagnostics & interpreting hardware signals to ensure proper wireless communication

Teaching Assistant

Oct 2023 - Present

• Led office hours for students by resolving coding issues and conceptual problems in C
• Edited, managed, and published lecture recordings and timestamps

Course Staff

Jun 2021 - June 2023

• Led lab sections twice weekly in Python fundamentals, data visualization, and machine learning
• Advised students in good programming practices & statistical comprehension during weekly office hours
• Counselled students in accomplishing academic goals by promoting inclusivity and advising them in their pursuit for higher domain knowledge

Academic Intern, Data Structures

Jan 2021 - Aug 2021

Academic Intern, Computer Programs

Jan 2021 May 2021

Mentor, Discrete Mathematics

Jan 2021 - Aug 2021

General Member

Jan 2021 - Present

Senior Advisor

Jan 2023 - June 2023

President

May 2022 - Dec 2022

Director of Finance

Aug 2021 - May 2022

Design Chair

Aug 2021 - Dec 2021