John – AWS, React, Typescript

John worked on a multiplayer, fast-paced word game centered on real-time phrase completion and social intuition. Players are shown a prompt with a missing word (e.g., “black ___”) and must choose a word they think other players will also pick. Points are awarded when answers match, driving a blend of quick thinking and social prediction.

• Designed a Firestore data model for scalable multiplayer sessions and scoring.
• Created front-end and back-end architecture;
• Wrote the React Native code for the Firebase integration, as well as the mobile UI.
• Implemented real-time listeners and fallback polling for reliability.

The project is a word puzzle game where players solve a series of scrambled clue words to uncover key letters needed to guess a final "Boss Word." Designed for quick and engaging play sessions, the game features dynamic difficulty levels ranging from Easy to Nightmare, adaptive win-streak mechanics, and a built-in mini-game to reward players for their progress.

• Created a game from start to finish;
• Built back-end architecture;
• Designed and built front-end UI.

The client has developed a cash-flow visualization tool for small businesses that seamlessly integrates with QuickBooks Online, providing accurate and up-to-date financial data. The tool boasts a clean, modern user experience, powered by Vue and Postgres, with a focus on precision in modeling and ease of use.

• Designed application from bottom to top;
• Built back-end architecture;
• Integrated a project with QuickBooks Online for real-time financials;
• Created an intuitive front-end user experience for clear and precise financial modeling designed specifically for small business owners.

It's a real-time fulfillment and delivery dashboard for an agricultural company, enabling employees to track internal seed orders from request through harvest, processing, and shipment.

• Designed and implemented a Node.js + Postgres backend to manage internal seed-order data, fulfillment status, and long-running lifecycle processes.
• Integrated with a Kafka producer/consumer pipeline to ingest real-time seed-availability updates and trigger downstream data processing.
• Built automated workflows to call internal APIs, enrich incoming data, and normalize payloads for efficient querying and display.
• Developed a React-based dashboard that provided employees with clear visibility into order progress, inventory constraints, and delivery timelines.
• Migrated high-volume and compute-heavy API logic into AWS Lambda functions, improving performance, scalability, and data-processing speed.
• Implemented robust event-driven architecture patterns, ensuring orders updated in near real time as supply levels or batch growth cycles changed.
• Optimized Postgres data models and queries to support fast lookups across large historical datasets and long fulfillment cycles.
• Collaborated with internal stakeholders to translate complex agricultural and operational workflows into intuitive UI and API experiences.

It was a project for a platform that offers on-demand and live-streamed events. The platform analyzes streaming data to highlight trending shows and movies, and it incorporates social matching features that recommend titles likely to interest users.

• Created and developed back-end architecture;
• Integrated with IMDB for accurate, up-to-date movie and show data;
• Designed and wrote front-end code;
• Implemented movie and TV text search.