Tony Ye.json
Tech Overview
AI Engineering
Agent Orchestration
RAG & Retrieval
LLM Engineering
Project Showcase
View All ProjectsEnterprise Knowledge Agent
Tiered enterprise knowledge platform routing every question to curated exact Q&A, cited document RAG, or governed Text2SQL — self-built orchestrator, MinerU parsing, hybrid retrieval with RRF fusion and cross-encoder reranking, 100% (20/20) end-to-end accuracy
ASX Mining Financial (Multi-Agent) Chatbot
Production ASX mining RAG chatbot: LangGraph multi-agent supervisor, hybrid dense+BM25 retrieval, vision-aware PDF ingest, two-tier semantic cache, SSE streaming, PostgreSQL persistence — deployed on AWS EC2 + Vercel
Multi-Agent Research Assistant
Full-stack multi-agent research assistant: nested LangGraph graphs, human-in-the-loop approval, parallel analyst interviews, RAG with Tavily & Exa, streamed progress, deployed on Railway + Vercel
About Me
Former chemical engineer turned AI engineer — now building enterprise-grade multi-agent AI systems in production.
AI & LLM Engineering
Frontend
Backend
DevOps & Cloud
Database
Blockchain & Web3
My Learning Journey
7 topics · 27 courses
Experience
- Co-architected a tiered enterprise AI platform — exact QA and Text2SQL as the primary answering paths, RAG as backup.
- Rebuilt the design team's manual SolidWorks workflow as an AI-led pipeline — 5 days down to 1 (80% faster).
- Automated a daily logistics workflow end to end — 20 minutes per task down to 1.
- Operate an independent software development practice focused on consumer-facing mobile applications.
- Manage a personal investment portfolio; developed strong analytical and independent decision-making discipline.
- Applied electrochemical and materials R&D in an industry setting; contributed to product development and testing.
- Materials science research: experiment design, data analysis, and co-authored publications.
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Contact
alei198634@gmail.com
GitHub
Tony1986111
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