I designed and engineered Stats.Fan, a modern MLB analytics platform built on a proprietary data pipeline that makes 125+ years of baseball history fun and interactive through live dashboards, trivia, and player comparisons.

🔧 Highlights

Built a full-stack data infrastructure:

• Created a data lake with 20,000+ player HTML snapshots using R2 storage.

• Designed a refinery and scraping engine (using Cheerio) to normalize messy historical data.

• Structured a MongoDB-based data warehouse with clean, queryable player documents.

• Integrated MLB Stats API augmentation (career, season, and live stats).

• Deployed a custom CDN for player headshots tied to normalized player IDs.

Developed a modern, interactive frontend:

• Built with React and ECharts.

• Features include player comparison tools, trivia generator, and interactive stat widgets.

• Optimized for performance and SEO with clean markup and server orchestration.

Designed orchestration and deployment tooling:

• Built CLI + shell scripts for rsync-based deployments to a DigitalOcean droplet.

• GUI tools for scraping config, ingestion monitoring, and API response testing.

• Modular scraper architecture with GraphQL-style parameterization.

End-to-end engineering ownership:

• From ingestion pipelines and data normalization to frontend UX and production deployment.

At Invisible AI, I worked as a Senior Frontend Engineer on real-time computer vision analytics dashboards used by global manufacturing leaders. I built and optimized data-intensive UIs in React and Javascript, enabling engineers to analyze assembly line performance with speed and clarity.

Performance & scalability: Refactored frontend data processing to achieve 83% faster load times for large datasets.

Advanced visualization: Shipped interactive ECharts dashboards, real-time split-view monitoring, and auto-height MUI DataGrid tables for large data streams.

Data workflows: Built CSV import systems and filterable insights tooling to give users direct control over analytics.

Product focus: Partnered closely with PMs and designers to align UX with factory workflows, ensuring usability under high-pressure environments.

This role strengthened my ability to translate complex data into intuitive frontend experiences and deliver measurable impact through performance, usability, and scalability.

I teach students the skills necessary to enter the fields of user interface design, user experience research, product management and front-end web development. Starting with lessons in the Adobe Creative Suite and modern wireframing software, I work through a curriculum that exposes them to the full toolkit and design approach of modern designers. This program teaches them to build and to communicate the rationale behind user-centric designs. The UX/UI Boot Camp also provides career support throughout and beyond the length of the program to ensure they can successfully navigate pathways for new career opportunities.

Delivered end-to-end frontend features for Ketch’s privacy and compliance platform using React, TypeScript, and a custom UI kit.

Shipped a high-visibility feature within three weeks, driving cross-team communication and rapidly navigating the codebase to deliver on tight deadlines.

Built responsive, accessible components aligned with design system standards, ensuring consistency and scalability across the web app.

Developed a CLI deployment tool (shell scripting) that streamlined code promotions (QA → PROD), saving developers 5–10 minutes per release.

Authored clear technical documentation to support team onboarding and knowledge sharing.