• Launched the user insurance program in the U.S nationwide, promoting 50k businesses with 1k new opt-ins weekly, enhancing monetized connections• Designed and implemented the automated data flow in Python, ensuring timely and accurate data updates to the stakeholders• Developed RESTful endpoints in Python, enhancing data accessibility and integration for downstream services• Designed and implemented GraphQL schema and resolvers, streamlining data fetching and improving client-side query efficiency• Debugged and resolved memory leaks within the microservice to improve system reliability and availability• Mentored and guided new engineers during their onboarding, facilitating seamless integration and quick ramp up to full productivity

• Modernized 80% of Yelp's business details page with new visual styles in React & Python to improve user experience• Refactored +15 Yelp legacy components to React in collaboration with multiple engineering teams, reducing frontend package complexity• Improved code quality and efficiency by introducing Jest/Enzyme unit tests for React components, reaching 100% coverage and expediting bug discovery

• Delivered a proof-of-concept of GraphQL client integration over RESTful APIs with Apollo for declarative data fetching• Implemented new frontend components for the main page using React as part of the UI overhaul• Improved the payment page UX by alerting connection errors to prevent payment process over the unhealthy network• Collaborated with backend engineers to build account lockout feature after failed sign-in attempts exceed the threshold

• Built an end-to-end transcription request feature with Ruby and jQuery to send automatic video transcription requests from the dashboard to AWS TranscribeService• Created a rate limiter for ASR microservice to regulate incoming transcription requests and reduce workflow bottleneck• Migrated the transcription data center from Redis to AWS DynamoDB to achieve data persistence at service downtime

• Contributed to the first release of Muse Direct to iOS App Store, a research app that visualizes EEG data stream from a Muse headband on a mobile device screen• Implemented a real-time synchronization feature using Firebase to upload recorded files on a device to cloud storage• Created filtering options for EEG data packets when recording data on a file, reducing file size by 66%• Improved app responsiveness and code readability by modularizing UI components using React Native