LEO YANG

• Developed Cycle Optima, a washer-cycle optimization platform, spanning embedded firmware, desktop GUI, and web app.
• Refactored ESP32 firmware into a FreeRTOS + JSON system, enabling concurrent component control and simplifying cycle definitions.
• Built a Python Tkinter GUI with JSON editing and Gantt-style visualization, reducing test prep time from ~35 min → ~5 min.
• Deployed a React + Node.js web app with Docker + Railway and ngrok for remote testing; prototyped OpenAI speech-to-speech control and embedding-based search for flexible cycle/test queries.

Key Skills: ESP-IDF, FreeRTOS, C, Python, React, Node.js, Docker, Railway, ngrok, OpenAI embeddings & speech

• Developing a mobile application to streamline the Biological Science Center’s axolotl research operations by integrating inventory tracking, order management, and daily task scheduling. The system automates stock monitoring, supports regulatory record-keeping, and improves workflow efficiency through researcher collaboration and tailored features.

• Explored open-source AI APIs, documenting capabilities and integration methods. Researched Retrieval-Augmented Generation (RAG) models for enhanced information retrieval and compiled structured reports to guide model selection and deployment.

• Gained experience in Leaflet for interactive mapping and ASP.NET MVC development while strengthening software architecture skills. Built Python automation scripts for web scraping, data formatting, and daily Box file synchronization, improving data accessibility and cloud-based file management.

• Collaborated on an iOS sports prediction app for UK students, implementing Swift and AWS features and contributing to ongoing maintenance alongside Toptal developers.