Product systems, analytics & AI platforms, and developer experience tooling across Tapestry's brand portfolio (Coach, Kate Spade, Stuart Weitzman).

Supply Chain Forecasting

• Built a predictive analytics platform (React, TypeScript, GraphQL, Snowflake) surfacing inventory imbalances across 400+ retail locations, reducing waste by ~$30M/year.

Analytics & AI Portal

• Built an operator-facing analytics portal with real-time collaboration, drill-downs, and follow-up actions — replacing scattered tools and ad hoc data pulls.

• Created an internal GenAI chatbot (AWS Bedrock + RAG) for platform queries — cutting support tickets by 50%.

• Architected the API backend: Express/Apollo + reverse-proxied FastAPI for AI workloads, with Prisma, Redis pub/sub, and Cognito auth.

• Led frontend for a presentation builder with drag-and-drop, keyboard nav, and PDF export.

• Wrote MCP tool definitions and built a demo surface for agent-driven analytics workflows.

Sample Tracking

• Built the app for sample shipment tracking, status management, and reporting — consolidating scattered tools into one surface for 16 stakeholders. Saved ~800 hours/year.

Developer Experience

• Created a monorepo template with shared configs, CI pipelines, and deploy conventions — now the foundation for new projects.

• Built a shared React component library (Storybook) used across two product surfaces.

• Shipped internal CLI tooling, SSO reverse proxy, and migration scripts to reduce repeated setup work.

Co-founded and built a social analytics platform as the sole technical co-founder, tracking community engagement patterns across social media APIs with unified customer profiles and proprietary metrics.

Product

• Built the full product from zero: React frontend with data visualization dashboards, real-time campaign analytics, and OAuth integrations (Slack, social APIs).

• Built UI widgets surfacing sentiment analysis and engagement metrics per Slack workspace.

Data & Backend

• Contributed to data ingestion pipelines aggregating social media data into unified user profiles and sentiment metrics (Go, AWS Lambda, DGraph).

• Added Redis caching via ElastiCache to reduce API response times across REST and GraphQL surfaces.

Infrastructure

• Owned CI/CD end-to-end: AWS CodePipeline across dev, staging, and production for EC2, Lambda, and Amplify.

• Dockerized all services for consistent local and deployed environments.

Team

• Led a team of 4 engineers through product development and release cycles.

Galvanize is a learning community for technology with eight physical campuses across the U.S. where innovative startups, aspiring students, and large enterprises benefit from a dynamic, unique technology ecosystem. Galvanize is an industry leader in technology education, offering the Data Science and Hack Reactor Software Engineering immersive bootcamps that propel careers and help individuals thrive in the digital economy. In addition to its physical campuses, Galvanize offers full-time and part-time immersive bootcamps to individuals remotely, and tailored workforce training to enterprise clients to address each of their unique needs. With 8,000+ graduates, Galvanize alumni have gone on to bring their talents to over 2,250 companies. Galvanize is a subsidiary of Stride, Inc. (Formerly K12, Inc; NYSE: LRN), a premier provider of innovative, high-quality online and blended education solutions, curriculum, and programs to students, schools and enterprises in primary, secondary and post-secondary settings.

Increased quality and speed of UX by transitioning a monolithic application to a microservices architecture and modernized the application UI with React.