I turn messy workflows into
reliable AI systems.
I design and ship AI backends, document automation, RAG and MCP integrations that connect to your existing data and tools. Senior full-stack engineer and CTO, working remotely with teams worldwide.
Focused ways I can help
Clear, bounded engagements built around business outcomes.
AI Backend & System Integration
Agents, RAG and APIs connected to your real data, permissions and operational workflows.
Document & Data Automation
Turn PDFs, scans, spreadsheets and forms into validated, reviewable structured data.
Project Rescue & Delivery
Stabilize delayed AI or backend projects, remove blockers, and get a scoped release into production.
Scoped Product Development
Build a clearly defined MVP or internal tool with milestones, acceptance criteria and handover.
Selected projects
Selected systems I designed, built or adapted — with honest attribution, screenshots and deployable code.
Compass — Procurement / Tender Intelligence
Turns a flood of public tenders into ranked, actionable opportunities.
An AI platform that crawls public procurement data, uses an LLM to extract and structure each notice, then matches and recommends opportunities to a company by capability — with match scores, risk flags, and a natural-language search. Full pipeline: crawlers → LLM extraction → pgvector matching → recommendation.
Capital-Markets Analytics & Reporting
Client project — designed and built a capital-markets research & reporting web platform to a financial-services client's requirements, plus a customized second deployment. Mock data only.
SealGuard — Seal & Signature Verification
End-to-end document verification using computer vision (YOLO + Siamese-network embedding) with a backend pipeline and human-review workflow.
Custom MCP Servers
Production-grade MCP servers (Go) connecting AI assistants (Claude, Cursor) to real tools via OAuth2 — minimal, secure, cross-platform.
Muse — AI Conversation & Document Platform prototype
Turns messy requests from enterprise chat into structured data with LLM extraction + human review — then renders print-ready documents from templates. Phase-1 prototype.
Argus — Stock Analysis Platform OSS customization
Restyled the React frontend, adapted the API, and containerized & deployed an open-source stock-analysis platform — running in production with daily AI market reviews.
Built on the open-source ZhuLinsen/daily_stock_analysis — my work: frontend redesign, API adaptation, deployment.
A practical way to start
Reduce uncertainty before committing to a large build.
Clarify the problem
Align on users, inputs, constraints, acceptance criteria and the decision path.
De-risk the solution
Validate data, integrations and architecture through a bounded diagnosis or proof of value.
Ship in milestones
Deliver working increments with documentation, verification and a clear handover.
About
I'm Yuexiang Yuan (Tom) — a full-stack engineer with 15+ years' experience and currently a CTO. I help businesses connect AI to their real systems: AI agents, RAG, and custom MCP servers that run in production. My background spans backend (Python / Go), DevOps, Web3, and embedded / edge-AI. I ship production-grade work with documentation, communicate clearly in writing, and offer ongoing support. Based in Nanjing, China — working remotely with clients worldwide.