New York, New York, United States
San Bruno, California, United States
Mentoring students with no prior CS degree or industry experience in fundamental CS concepts, including data structures, database design, API design, full-stack architecture, algorithms, and testing principles.
Created a custom Poker game assignment for students to demonstrate key principles of React development like props, component design, custom hooks, and global state management.
Currently developing a full-stack application that streamlines the admissions and enrollment processes for preschools, powered by Node.js, Express, TypeScript, MongoDB, and React.
development like props, component design, custom hooks, and global state management.
2023 — 2023
South San Francisco, California, United States
Maintained a full-stack app with a Python/Flask/PostgreSQL backend and React/TypeScript frontend that visualizes drones in flight and provides real-time airspace updates, powered by Kafka and Websockets.
Implemented the ability to view 20+ types of detailed diagnostic data from prototype drones, which required close coordination with other engineering teams to ensure the data was available to consume via Kafka.
Organized a weekly meeting with 15+ stakeholders from various internal teams to coordinate on requirements, answer questions about upcoming features, and demo new functionality in the app.
2022 — 2022
San Francisco, California, United States
Led a team of 8 engineers through a company acquisition, assigning technical leads for the team, ensuring a strong technical foundation for projects, and delegating engineers and resources to adjacent teams.
Coordinated with R&D leadership to set realistic expectations for 2 compliance-related projects, allowing the team to deliver high-impact improvements to Lever’s GDPR compliance functionality in only 6 months.
Built a scalable event-based Node.js task with 1000+ lines of code to mark candidate data as anonymizable for GDPR compliance purposes, backed by a comprehensive integration test suite using Chai/Mocha.
San Francisco, California, United States
Facilitated sprint reviews and retros, wrote implementation specs, and taught best practices for the company’s tech stack: TypeScript, CoffeeScript, MongoDB, Redis, Docker, Derby.js, Elasticsearch, Chai, Mocha, Sinon.
Spearheaded a project allowing companies to self-administer their candidate hiring pipelines, resulting in a ~75% decrease in customer support tickets while maintaining a 99.9% backend task success rate.
Hand-selected by the CEO to overhaul Lever’s resume parsing functionality by integrating with a new vendor API, implementing Redis-backed rate limiting, and creating Kibana dashboards for key parsing metrics.
Worked closely with the infrastructure team to set up an EU Data Center, retrofitting existing Node.js code to allow it to interface with multiple AWS regions.
Education
2011 — 2015
University of California, Berkeley
Bachelor’s Degree
2011 — 2015