Hyperse

About us

Yingchun Tian｜Head of Engineering / Engineering Director

17 years of full‑stack / frontend‑platform experience. Focused on cross‑border ecommerce platformization, engineering productivity, and production‑ready AI agent integrations. Experienced in leading 40+ cross‑functional teams and building systems from 0 to 1.

Overview

  • Location: Shanghai
  • Focus: Platform engineering, complex B2B systems, cross‑border ecommerce, AI agents
  • Keywords: TypeScript · React 19/RSC · Next.js · GraphQL · NestJS · Vendure · Multi‑tenant/channel · Plugins · Sentry · Tracking · MCP/Skills

Key technical capabilities (quick scan)

A condensed, high‑signal checklist extracted from my resume for fast screening.

Full‑stack & frontend platform

  • TypeScript engineering: type boundaries, maintainability, reusable internal toolkits
  • React 19 / RSC & Next.js: server/client boundary governance, rendering strategy, performance and engineering practices
  • Complex B2B systems: platformization for workflows, permissions, data tooling and long‑term evolution

API & data architecture

  • GraphQL (BFF/aggregation): schema design, auth, performance governance, observability, multi‑client consistency
  • NestJS / TypeORM: domain modeling and extensible service architecture

Ecommerce platformization (Vendure)

  • Multi‑tenant / multi‑channel: isolation for data/permissions/config; composable capability assembly per tenant/channel
  • Plugin ecosystem (40+): payment, marketing, ERP, logistics, search, reporting, auth and workflow modules

AI agent engineering

  • MCP / Skills / workflows: multi‑model & multi‑bot isolation, session/context, tool calling and business process loops
  • AI Shopping Assistant: product discovery, coupon reasoning, order/after‑sales support → tool calling → actions

Delivery, reliability & observability

  • CI/CD & incremental builds: multi‑env/domain/CDN, mocks, low‑code and internal platforms
  • Sentry in production: error/perf monitoring, release correlation, alert severity and verification loop
  • Client tracking: unified event model & SDKs, cross‑platform consistency, funnel/conversion analytics
  • Ops & deployment: Vercel operations, ECS configuration, containerized release & rollback

Core strengths

1) AI agent engineering & production adoption

  • An integration layer for business systems: multi‑model & multi‑bot isolation, session/context management, tool calling and workflow orchestration (MCP/Skills)
  • AI Shopping Assistant in ecommerce: connect product/coupon/order/ticket domains to close the loop from chat to actions

2) Full‑stack API architecture (schema‑driven)

  • Next.js + GraphQL (BFF/aggregation) + NestJS/TypeORM
  • Schema design, auth, performance and observability practices for GraphQL

3) Cross‑border ecommerce platform (Vendure)

  • Multi‑tenant & multi‑channel boundaries: isolation for data/permissions/config
  • 40+ plugins across payment, marketing, ERP, logistics, search, reporting, auth and workflow

4) Engineering productivity & quality

  • CI/CD, incremental builds, multi‑env/domain/CDN, mocks, low‑code and internal platforms
  • Sentry: error monitoring, performance, release correlation, alert triage loop
  • Tracking: unified event model & SDKs, funnels and conversion analytics

Tech stack

TypeScript, React, Next.js (React 19/RSC), Node.js, NestJS, TypeORM, GraphQL, Vendure, next-intl, containerization, Vercel/ECS, CI/CD, plugins, Sentry, Tracking, AI agents, MCP, Skills

Experience

Tongcheng Fintech｜Engineering Manager (Frontend Platform & Full‑stack)｜2015.11–2025.12

  • Led up to 40+ cross‑functional members across FE/BE/Mobile/UX/QA
  • Owned tech planning, architecture governance, platform capabilities and critical delivery

Selected projects

Vendure containerized cross‑border ecommerce platform

Showcases

Open source

hyperse-io (creator/maintainer)

  • 40+ type‑safe engineering projects: build tools, CLI framework, DX tools, tracking & observability, pipelines

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