Software Engineer - Backend - Lyft Core Systems & Platforms

Software Engineer - Backend

• 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.

Product Engineering

TypeScript • React • Redux • Golang • SQL • Postgres • Agile Methodologies

Software Engineer - Backend

• 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

• Analyzed MRI data of 197 experimental subjects using Amazon Web Services; ran neuroimaging analysis on virtual machines on Amazon EC2 and stored data on Amazon S3 (object storage service)

• 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