Ye-yellow

AI Full-Stack Engineer | Real-time Systems | Product-grade Delivery

I build end-to-end systems where AI capability, backend reliability, and frontend product experience meet.


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What I Build

I care about systems that are useful outside the demo screen: APIs with stable contracts, realtime flows that survive messy user behavior, data models that remain auditable, and interfaces that make complex operations feel manageable.

My current center of gravity is AI-assisted commerce infrastructure:

• Real-time auction and bidding engines
• AI search, recommendation, and assistant workflows
• Full-stack product systems from H5 clients to admin consoles
• Go backend services with Redis/MySQL runtime and persistence layers
• Contract-first APIs, E2E testing, observability, and deployment discipline

Featured System

Live Auction Suite

A full-stack live commerce auction platform built as a product-grade engineering system.

| Layer | What It Covers |
| --- | --- |
| Backend | Go service, HTTP/gRPC contracts, auth/RBAC, auction state machine, order settlement |
| Runtime | Redis-backed hot auction state, atomic bidding decisions, WebSocket synchronization |
| Data | MySQL business facts, projection recovery, audit-friendly order and lot records |
| Frontend | React merchant console, mobile H5 buyer client, realtime auction interaction |
| AI | Semantic search, buyer recommendations, assistant-ready product workflows |
| Quality | Proto-generated API surface, black-box E2E contract tests, deployment documentation |

mermaid
flowchart LR
  Buyer["H5 Buyer"] -->|"Bid / Watch / Pay"| API["Go Auction Backend"]
  Admin["Merchant Console"] -->|"Operate / Settle"| API
  API --> Redis[("Redis Runtime")]
  API --> MySQL[("MySQL Facts")]
  API --> AI["AI Search & Recommendation"]
  API --> WS["WebSocket Events"]
  WS --> Buyer
  WS --> Admin

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Engineering Profile

| Area | How I Think |
| --- | --- |
| Product Engineering | Start from the real workflow, then make the technical boundaries serve it. |
| Backend | Prefer explicit contracts, clear state transitions, and boring reliability over clever shortcuts. |
| Frontend | Build interfaces that are dense, usable, and connected to real domain actions. |
| AI Integration | Treat AI as a capability inside the product system, not as a decorative API call. |
| Testing | Cover happy paths, user mistakes, auth boundaries, state conflicts, pagination, and error envelopes. |
| Delivery | Keep local startup, deployment, docs, and verification close to the code. |

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Stack I Reach For

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Current Focus

• Turning complex backend workflows into clean public API contracts
• Building AI-assisted commerce experiences with measurable product value
• Making realtime user flows testable through black-box HTTP/E2E contracts
• Growing Byte AI Full Stack into a portfolio of serious full-stack systems

GitHub Signal

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Start Here

• Organization: byte-ai-fullstack
• Featured repository: byte-ai-fullstack/ByteDanceliveauctioni
• Engineering direction: AI full-stack systems, realtime commerce, contract-first backend design

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