Rui Tao's Portfolio
Hello!

I'm Rui Tao - a passionate Software Engineer based in Seattle, WA

I've been passionate about coding since middle school.

With over a decade of programming experience, I've worked across various domains of software engineering, from full-stack web development to game development, AI/ML applications, and high-performance computing.

I enjoy building innovative solutions and sharing my knowledge with others.

What have I built?My writingsSnippets collectionAbout me & this blogTraffic and insights

Welcome to my portfolio

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AI-Enhanced Mock Interview Platform

AI-Enhanced Mock Interview Platform

A microservices platform using React, NestJS, and Python FastAPI, featuring realtime video with WebRTC, AI-driven interview analysis, and deployed on Google Cloud Platform. Implemented realtime speech recognition and AI-driven post-interview analysis using OpenAI and LangChain. Designed RESTful APIs with Firebase Auth and MongoDB for data persistence.

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Well Log Analysis Platform at SLB

Well Log Analysis Platform at SLB

High-performance platform with React/Flask/MongoDB stack on Azure, featuring well log generation, model lifecycle management, and real-time task monitoring. Engineered parallel task processing system using Python multiprocessing to bypass GIL, achieving 8x throughput for concurrent tasks. Implemented well log resolution enhancement using Autoencoder-SVR hybrid model with TensorFlow.

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Game Development at Alibaba

Game Development at Alibaba

Implemented pathfinding system for SLG game using optimized A* algorithm on Lua and C++ hybrid model, capable of handling 1500×1500 hex grid within 200ms, with path smoothing optimization. Developed a Roguelike Shooter demo using Lua and a custom timer with adjustable timescale, pause, and resume. Created the game replay system for online card game Morimens, with the server storing game frame instructions and states on an OSS service, and the client retrieving data directly from OSS and replaying. Optimized the social system for Morimens with segmented caching, asynchronous preloading, and selective retrieval, reducing avg and max RPC times by 83.2% and 99.1%, earning positive feedback.

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