Engineered a reverse image search and similarity detection feature for a social media app suite with millions of DAU using Go, Redis, Kafka, DynamoDB, SQS, AWS, Postgres, MySQL, and OpenAPI.

Devised Lifeguard Trust & Safety platform to ensure high DAU and user safety while retaining revenue.

Coordinated cross-functionally to deliver premium full-stack products within tight deadlines.

Optimized system performance, scalability, and reliability through continuous monitoring and testing.

Functioned as a backend-leaning full-stack engineer to dynamically handle evolving customer requirements to get new products to users.

Backend engineering team focused on building out and optimizing our microservice architecture

Utilized Spring Boot, Docker, Java, Python, SQL

Developed encryption service for credentials and sensitive data

Began the refactoring of perceptual image hashing microservice for profile picture uploads for identifying scammers and banned accounts (from flask -> Java & Spring Boot)

Experience with sprints, agile methodologies, and kanban board

Refactored the code on Notion for distribution across team and served as ambassador to meetings with UCLA's IT department

Collaborated in an interdisciplinary team of neurosurgeons, medical researchers, and statisticians to conduct independent research project