Hello world

• CS Junior @ Boston University (B.A. Computer Science, Minor in Biology)
• Passionate about building scalable web apps & AI-enhanced tools — especially for education and student communities
• Full-stack developer (Next.js, Tailwind, MySQL, Express.js) with hands-on Linux server deployment (Nginx, systemd, HTTPS)
• Currently working on Retrieval-Augmented Generation (RAG) features and machine-learning pipelines through my research assistant role
• Love leading student-driven projects & mentoring peers

• Real-Time Lottery System – BUCSSA Next.js + Express.js + Redis + Socket.IO; scaled to thousands of concurrent users.
  Deployed on self-managed Linux server with Nginx + systemd + Certbot; conducted flood testing and optimized pub/sub.

• BioByte – Educational Resource Integration Platform Full-stack Next.js + TailwindCSS + MySQL on Alibaba Cloud.
  Includes RAG-based past paper retrieval (FAISS vector search) and AI tutor for real-time Q&A.

• Afora – AI-Powered Team Management Platform Tech co-founder. Built on Next.js + Firebase Auth + Firestore (Vercel).
  Designed team compatibility engine with structured JSON schemas and GPT-driven prompt workflows.

(More projects ➡️ github.com/Thresh514)

• Languages: Java, JavaScript/TypeScript, Python, R, Matlab, SQL, Bash
• Frameworks & Tools: React, Next.js, Flask, TailwindCSS, Express.js, Socket.IO, REST APIs
• Databases: MySQL, PostgreSQL, Redis
• Cloud & DevOps: AWS RDS, Alibaba Cloud ECS, Nginx, PM2, DNS/HTTPS, Linux server ops
• Bioinformatics & ML: QIIME2, BLAST+, pandas/numpy, scikit-learn, XGBoost, Random Forest, matplotlib/seaborn

• Adding Retrieval-Augmented Generation (RAG) to education-focused web apps
• Building and evaluating machine-learning pipelines as a Research Assistant
• Scaling full-stack systems (Next.js + Node.js) with Redis, Nginx, and self-managed Linux servers

• LinkedIn
• Email: tonytudaodao@gmail.com