JunoDB — PayPal’s high-scale distributed key-value store

• Improved client library reliability by expanding automated test coverage and stabilizing existing features.

• Participated in investigations related to write-heavy workload performance and contributed early-stage discussions toward future scalability improvements.

• Assisted with capacity evaluation and resource analysis to support infrastructure planning.

• Supported JunoDB’s Kubernetes migration effort by improving Datadog dashboards and refining alert configurations.

• Provided integration support to internal partner teams, resolving recurring issues and maintaining the troubleshooting knowledge base.

Factory Software Team

• Migrated a legacy .NET ETL system to Golang and React, reducing downtime by 30% and improving scalability to support

over 200 factory processes. Redesigned database schemas, reducing redundancy by 40% and optimizing query performance.

• Crafted an intuitive React frontend utilizing Next.js for task scheduling and workflow monitoring, achieving a streamlined

configuration process that enhanced user satisfaction while reducing manual intervention by 25%.

• Achieved 80% unit test coverage and worked with cross-functional team to ensure system adoption & existing tasks

migration

• Implemented a WebSocket server for high-frequency live crypto-trading data ingestion, using the Strategy Design Pattern to build a highly modular buffering and aggregation system. Collaborated with a teammate to extend WebSocket server capabilities to ingest data from multiple exchanges.

• Designed and built Fast API endpoints for financial signals, reducing latency to under 0.05 seconds. Collaborated with the Quant Research team to align APIs with trading strategies and feature requests.

Teaching Assistant of CIT590 Programming Languages and Techniques (Fall 2023 & Spring 2024);

• Conducted an analysis of a community-based food access and delivery system supporting 1,000 individuals, using Python to generate reports and visualizations that highlighted platform usage trends and identified community needs.

• Applied database manipulation techniques using R and Stata to perform statistical analysis on large datasets, including those with up to 14 million records, contributing to research on racial disparities in mortgage application denial rates.