• Migrated Autolist.com car listings page which was a major legacy codebase of 10,000+ lines accessed by over 5 million users monthly to TypeScript, React, and Next.js from Ruby on Rails, improving performance by 30%.

• Ensured 100% parity in functionality in Autolist.com listings page using TypeScript to implement new React hooks, Redux to store vehicle filter state, and StyledCSS for subcomponents.

• Created server side functionality to retrieve, validate, and format vehicle specific content for use in SEO SRP advanced vehicle search with TypeScript, React, and Next.js, boosting average SEO for car listings by 10 - 20%.

• Engineered Quick View feature for listings page to display key vehicle information within a modal to drive up user leads for potentially purchasing vehicles by 20 - 30% using TypeScript, React, and Next.js.

• Prototyped new landing page and onboarding flow during annual hackathon, championing the prioritization, implementation, and adoption of new onboarding flow across all listings pages for 1+ million users monthly.

• Developed a new onboarding flow to guide users through intuitive UX to display accurate car listings based on their preferences in TypeScript, React, and Next.js, improving signup rates and lead submissions by over 20%.

• Constructed new Vehicle Description Page to display car details, price history, dealer info, price analysis, related vehicles, and lead form using TypeScript, React, and Redux, driving up lead submission rates by ~10%.

• Implemented ‘Quick Picks’ feature in TypeScript, React, and Redux that presents users with a list of related vehicles after they’ve submitted a lead and enable one-click contact of dealers which grew lead rates by 3%.

• Proposed, planned, and documented future migration process to React 19 and Next.js 13.4’s App Router.

• Conducted INP research to identify performance issues with desktop and mobile vehicle filters, resulting in 15% improvement in page responsiveness using TypeScript, and React.

• Developed and deployed client-facing patient and partner portals and their corresponding backend servers serving 200+ users with TypeScript, JavaScript, React, React Native, Apollo, GraphQL, Node.js, and DatoCMS.

• Ensured test coverage of core frontend functionality utilizing TypeScript, JavaScript, Jest and React Testing Library, achieving more than 90% code coverage.

• Refactored PDF report creation tool, eliminating use of Handlebars and Webpack to decouple generation from rendering logic to reduce lines of code by 50% and streamline the process using Puppeteer and Node.js.

• Designed and developed UI to perform operations on HL7 FHIR resources from datasets and stores utilizing TypeScript, JavaScript, React, Node.js and Google Healthcare API to dramatically increase speed of developing and debugging features involving FHIR resources by over 80%.

• Created, configured, tested, and deployed backend services responsible for creating, associating, and

updating HL7 FHIR resources using TypeScript, JavaScript, Node.js and Google Healthcare

• Assisted in teaching a JavaScript-based development stack comprising of React, MongoDB, Express, and Node to multiple cohorts of 30+ students and hosting weekly one on one and small group discussions

• Refactored codebase to implement React 16.8 enhancements such as Hooks, reducing lines of code by 20%.

• Converted single-product health insurance offering to multi-product webshop using JavaScript, React, Redux, GraphQL, AWS, Express, and PostgreSQL, increasing customer engagement by 20%.

• Implemented GraphQL and Apollo to integrate with JavaScript, Node.js, and MongoDB backend in order to fetch, cache, validate, and update data, improving performance by 20% compared to REST implementation.

• Increased email open rate for 100,000+ users by more than 10% using Vero email platform to schedule virtual newsletters and drip marketing campaigns.

• Coordinated text marketing campaigns for university and class-specific segments by integrating Ruby on Rails API with SendHub software, achieving average text response rate of 10%.

• Implemented A/B landing page and copy variations for email and text marketing campaigns using Instapage and custom HTML5 and CSS3, improving user registration rate by 11%.