🚀 Software Engineer | Innovator | Full Stack Developer 🚀 Hello! I'm Raymond Robinson, a driven Software Engineer based in Austin, TX.

Experience

2024 — NowUniqLearnFull Stack Engineer

2024 — Now

New York, New York, United States

Built dynamic React Konva canvas system with line segment tools, snapping, and overlay rendering. Supporting math

assignments for 100+ classrooms with real-time collaboration and Firestore sync.

Designed transformer-based interest engine with autocorrect, vector embeddings, and approval flows. Boosting content relevance

by 65% and reducing input time by 31%.

Engineered AI-driven TTS infrastructure with OpenAI APIs, Howler.js, and audio highlighting. Used by 10K+ students with

speed controls, caching, and responsive playback modals.

Developed scalable PDF generation pipeline using Puppeteer + Docker on GCP Cloud Run, processing 1K+ secure documents

daily with proxy support and retry logic.

Built alert and notification systems for student and teacher dashboards, integrating assignment status flags, interest moderation,

and real-time updates.

Led testing architecture with Jest, Cypress, and CI/CD via GitHub Actions. Achieving 85%+ coverage across complex

components including canvas, AI workflows, and assignment creation.

2018 — 2024MetaSoftware Engineer

2018 — 2024

Austin, Texas, United States

Developed application and UI components using the MERN stack, resulting in a 3% performance improvement. Collaborated in configuring dynamic component building and scalability using Redux, enhancing runtime by 12%. Debugged and integrated over 500 packages to optimize project efficiency.

Collaborated cross-functionally to enhance application performance, reducing load times by 15% and leading to a 12% increase in active users. Led the design and implementation of RESTful APIs with Node.js and Express.js, driving a 25% improvement in data processing efficiency. Optimized MongoDB databases, improving query response times by 30% and facilitating smoother user experiences.

Conducted thorough code reviews, contributing to a 98% reduction in post-release defects and enhancing overall software quality.