About

I am a software engineer in the Bay Area with over 5 years of experience working at fast-paced startups. Previously, I worked at Robinhood on the Security and Anti-fraud teams and at Color as part of the Data Platform team. My interests include a variety of topics at the intersection of software engineering, computer science, and biology.

Before becoming a software engineer, I briefly pursued a PhD at Stanford, where I published a few papers on rare genetic variation, gene regulation, and the heritability of complex traits. Although I had the opportunity to collaborate with excellent mentors and peers, I realized academia wasn’t the right path for me and left with a master’s degree in March 2019.

Experience

Robinhood (September 2020 - September 2024)

• Senior Software Engineer and Tech Lead for the Money Movement Anti-fraud team
• Built near real-time systems, data pipelines, and machine learning models to detect fraudulent activity and prevent unauthorized fund transfers
• Led cross-functional projects with up to three engineers, collaborating closely with non-engineering stakeholders such as Data Science, Anti-fraud Operations, and Product teams
• The impact of these projects reduced fraud losses by more than $10 million annually

Color Genomics (May 2019 - August 2020)

• Developed and maintained ETL data pipelines for product analytics, engineering, and laboratory operations
• Designed and led the implementation of a modern data lake infrastructure (ELT) using BigQuery and dbt

Stanford Computer Science PhD Program (Sept 2017 - March 2019)

• Designed and implemented novel research projects in machine learning and genomics
• Co-authored multiple research publications
• Left program voluntarily with a M.S. in Computer Science to pursue a career in industry

Education

M.S. in Computer Science, Stanford University (2019)
B.S. with honors in Computer Science, Stanford University (2016)