Experience

Architected and built a channel-agnostic, schema-driven editing SDK ensuring type parity between the email editor frontend and the editing service backend; this established the technical foundation for Agent Experience (AX) and enabled a simultaneous agent/user multiplayer experience through atomic edit operations

Built a lightweight, agent-native email editor from scratch on an accelerated timeline; delivered an in-editor experience with custom block controls and streaming AI-generated sections that leverages pre-designed layouts to produce professional-grade emails with minimal perceived latency, maximizing the speed-to-value for end users

Reduced email editor crash frequency by 25% overall, contributing to a peak crash rate drop from >200 to under 15 per hour by systematically identifying and resolving the highest-impact crashes using Splunk

Designed and built in-editor AI image generation feature from a prototype into a robust product experience generating over 16,000 images per month; being spotlighted at the September 2025 Mailchimp Innovation Council and receiving immediate validation with customers noting its “seamless” and “sleek,” high-polish UX

Designed and shipped a cross-team API service for validating email documents as a self-serve product surface, giving engineering teams outside the TypeScript ecosystem the same confidence in document compatibility as the core editor team

Built Mailchimp's first new builder document schema as a TypeScript/Zod library during an internal hack week, introducing runtime validation that became the foundation for high-quality, reliable AI-generated email experiences and the definitive foundation for operational excellence

Translated Fullstory behavioral analytics into high-impact product features by identifying severe user friction (~100 users "rage clicking" in a single month) and shipping an in-editor campaign renaming feature used 32,000 times per week after launch

Designed and developed type-safe API service with AWS Lambda functions to retrieve, aggregate and transform loan data for frontend apps

Developed automated unit/integration test suite using vitest/TypeScript for API service

Reduced initial application bundle size of loan management application by 75% and page load times by 79% using an asynchronous loading strategy to improve user experience

Built features with React and Typescript across 4 frontend applications and 2 backend services

Contributed to the continual improvement of internal documentation for engineering design, web performance, testing strategies and code quality

Led frontend user interface UI design for all 3 next generation applications of company's loan servicing management tools

Led the development of a reusable React component library to improve code reuse and developer productivity across a multi-application monorepo

Designed and built visually appealing, accessible, and performant web applications with React and Typescript

Redesigned and implemented marketing page for company's premier loan product with a modern visual design, improved performance and better UX

Led the frontend engineering design and development for Dartmouth College Academic and Program websites

Designed and developed a campus-wide dining menu application with 6,000 visitors per week (Dartmouth's 2nd-most visited site)

Empowered non-technical site editors to publish their content to millions of dartmouth.edu readers each month

Built an audio/video device management dashboard in collaboration with the Thayer School of Engineering

Mentored and advised 6 Computer Science students on web development techniques including use of modern React/Typescript best practices as a Frontend Mentor with the Digital Applied Learning and Innovation (DALI) Lab at Dartmouth

Led the development of operational plans and procedures for $1.3M per day deepwater wells in the gulf of Mexico to enable a highly efficient operation

Led Field Engineering team, including verifying the accuracy of calculations and ensuring compliance with corporate and government standards

Conduct data analysis for Gulf of Mexico drilling rigs to make time and cost performance visible and drive continual improvement

Demonstrated reduced cost and schedule opportunities for Pennsylvania-based completions