Shawn Neacy

Led migration of a core real-estate investor UI to React and Next.js with TypeScript, reducing perceived load time by 33% for 30,000 monthly active users. Architected Node.js/Golang backend and consolidated legacy endpoints into a single PostgreSQL-backed API, cutting API error rate by 47%, and improved deployment frequency 3x with Argo and Terraform while preserving rollback safety.

Designed and delivered a document management microservice in Node.js/Express with MongoDB, improving document retrieval speed by 60% across 5,000 offices. Built serverless ingestion pipelines on Google Cloud Functions and Cloud Storage for signed forms, scaling to 10k files/day with zero downtime and reducing frontend payloads 35% via GraphQL and REST endpoints.

Directed a client-facing redesign of a property management portal using React, TypeScript, and Tailwind CSS, increasing weekly active users by 41% during a pilot. Implemented SSR in Next.js to boost organic listing discovery by 27%, improved session failover by migrating sessions to Redis, and reduced login-related incidents by 73%.

Redesigned an agent onboarding flow with Angular and TypeScript, shortening onboarding time by 45% and increasing retention by 18%. Tuned PostgreSQL schemas and queries to cut report generation time from 90s to 18s, and enabled blue-green deployments with Docker and Kubernetes, reducing release risk by 67%.

Developed interactive UI components in Vue.js and vanilla JavaScript, improving cross-browser UX consistency for agent dashboards. Built Node.js/Express REST APIs to serve monthly reports to 200+ brokerage clients, scaled to 10k requests/min, and reduced PostgreSQL time-series query costs by 48% through partitioning and indexing.

Authored backend services in Python and Node.js supporting social features, increasing daily active users by 28% over 12 months. Implemented PostgreSQL relational models and reporting queries for monthly analytics exports, and built REST APIs with OpenAPI documentation to shorten partner integration time by 40%.

Developed server-side components in JavaScript and legacy C to support defense telemetry ingestion at hundreds of messages/sec. Optimized PostgreSQL stored procedures and indexes to reduce nightly processing windows by 46%, and instituted health/log alert thresholds that decreased incident escalations by 33%, improving MTTR by 28% for common failure modes.

Implemented Python prototype data collectors for FPGA telemetry and stored results in MongoDB for analysis. Built visualization scripts and test harnesses with JSON logs consumed by CI systems, improving debug speed by 60% and refactoring transformations to run 3x faster.

Supported internal systems and assisted deployments by streamlining release candidate builds with Git and automated scripts. Configured monitoring checks and basic dashboards to reduce unnoticed outages by 21% and automated IT tasks with scripting, freeing 6 hours/week of systems administrator time.

Earned a B.S. in Computer Science at the University of New Hampshire from 2005 to 2009.