中文
J

Jianyang Zhang

AI Architect / Tech Lead

Long-Horizon Agent Systems Engineering
3+ yrs
AI & Agent Engineering
14+ yrs
Full-Stack, Architecture & Delivery
Location Suzhou, China · Phone +86 189 1269 0699 · Email jianyang1209@outlook.com · GitHub github.com/lib4x · Web aibuddy.day

Profile

AI Platform Architect at Career International, with 14+ years in full-stack development and architecture. I lead the architecture and production launch of enterprise AI products, and independently build and continuously iterate aibuddy — a production-grade, general-purpose Agent platform.

Commercial Impact Led architecture and core delivery for 3 commercial AI products: YiMai (JD-rewrite suggestions ~46% adoption) · MS intelligent search · Mira (research, document handling and executive-search sourcing; 50–70% efficiency gains)
Core Engineering Context engineering sets the ceiling for long-horizon Agents: multi-tier compaction + token-budget calibration + checkpoint recovery, keeping the Agent running stably within a bounded context window without losing task state
End-to-End Ownership Built and continuously iterate aibuddy from 0 to 1 — a production-grade general-purpose Agent platform; decoupled by capability into composable modules so one Agent core deploys to both server and desktop

AI Builder — Personal Project

aibuddy
From problem definition to continuous iteration
aibuddy.day

A production-grade, general-purpose Agent platform I develop and continuously iterate independently — supporting general Agent task execution, Agent Team collaboration, scheduled jobs and structured delivery; spanning the full lifecycle from product definition and architecture to core development and delivery.

Tech StackTypeScript · React · AI SDK · Hono · Drizzle · BullMQ · Electron
Runtime & IsolationPostgreSQL / Redis · SQLite · Node / Daytona / E2B Sandbox

Context Compaction EngineMulti-tier compaction with cross-turn snapshots, calibrating the token budget against actual usage; enables long-task context control and checkpoint recovery.

Multi-Model Adaptation & RoutingAdapts to each model's tool-calling differences, loads tools on demand with graceful fallback; keeps Agent capability consistent while cutting context overhead and improving cache reuse.

Agent Team DAG OrchestrationParallel multi-Agent orchestration over a dependency DAG; wakes agents on demand once dependencies are met, with wake-locks preventing duplicate execution.

Dual-End Zero-Drift ArchitectureAbstracts storage, queue, transport and Sandbox into replaceable interfaces, so the same Agent core deploys to both server and desktop — avoiding dual implementation and keeping behavior and task execution identical.

Engineering Practice Agentic Coding workflow: 15 workspace packages managed with pnpm + Turborepo; architectural context and delivery standards captured as versioned Skills; automated quality gates via TypeScript strict, Zod, lint and build.

Experience

Career InternationalHR SaaS · Recruitment Platform
Dec 2020 – Present · Suzhou
NowAI Platform Architect Jun 2023 – Present
Driving the productization of AI across vertical recruitment and talent-pool scenarios: delivered YiMai's generative-AI features in 2023, rebuilt MS intelligent search in 2024, and since 2025 have led the Mira Agent from product definition to launch; responsible for architecture and core delivery, validated through production usage data and offline evaluation.
  • 2023 YiMai · Generative-AI Productization Brought résumé-parsing optimization and JD rewriting into real user flows, reaching ~46% adoption of JD-rewrite suggestions; delivered structured I/O, multi-client streaming interaction and business-system integration; owned the AI feature architecture and core development
  • 2024 MS · Talent & Résumé Intelligent Search Upgraded the central talent pool from keyword search to hybrid retrieval — Embedding + BM25 + business-rule recall + rerank — extracting structured conditions such as role, skills, industry and experience; built a Python offline-evaluation harness with LLM-as-a-Judge to validate semantic gains in this keyword-heavy recruiting domain, lifting nDCG@20 from 0.76 to 0.80 and enabling fast iteration
  • 2025–Present Mira · Agent Architecture & Business Adoption Led the recruiting Agent product from definition to launch and into real business use. Built three scenarios around headhunters' core work: Research assists consultants with information retrieval, analysis and delivery (~60% efficiency gain); daily document handling covers attendance, finance and similar tasks (~70%); Sourcing targets executive search, improving candidate search and screening efficiency (~50%). Captured recruiting judgment rules and delivery standards as reusable Skills; standardized capability interfaces, permission boundaries and error handling via a unified Tool contract so the Agent executes safely and reliably; controlled long-task context length through compaction, with human confirmation (HITL) and scenario-based permissions on critical actions
PythonAI Agent ArchitectureHybrid RetrievalLLM EvaluationTool Orchestration & PermissionsContext Engineering
Senior Full-Stack Engineer · Tech Lead Dec 2020 – Jun 2023
Initially led the client-side (C-end) rebuild of YiMai, keeping core paths stable and supporting product iteration; later served as team lead, owning end-to-end delivery of ShuKe from initial scope definition to production launch and subsequent iteration.
  • YiMai C-End System Rebuild The mini-program is the company's primary user entry (3–5K DAU); to support ongoing iteration, rebuilt the backend APIs and core domain models and led a Spring Cloud microservices migration — layered into adaptation, application, domain and infrastructure — forming a shared service foundation for both the mini-program and the app
  • ShuKe 0→1 Business Incubation As team lead, drove ShuKe from product incubation to launch and operation, owning requirement assessment, solution decisions, core development, task allocation and delivery-cadence management
  • Data & Recommendation: Integrated the vertical recruiting system with the company data platform, building data sync and processing pipelines on DataWorks; contributed to recruiting-domain modeling and unified metrics for roles, candidates, impressions, engagement and conversion; rebuilt recommendation and distribution logic on Elasticsearch, lifting core recommendation-distribution metrics by up to 25%+
  • Engineering Efficiency & Stability: Helped build the CFD cross-functional collaboration mechanism and the LightMerge multi-branch integration approach, improving requirement flow, branch collaboration and incident response, and cutting system MTTR by ~20%
Spring CloudClean ArchitectureElasticsearchDataWorksData GovernanceEngineering Efficiency
Huaer YingsaiCross-Border E-Commerce · ERP
Sep 2018 – Dec 2020 · Suzhou
Tech Lead · 2 yrs 3 mos
Built a 7-person engineering team from scratch and owned a cross-border e-commerce ERP from business analysis and architecture to launch; the system spanned procurement, inventory, orders, finance and multi-platform integration, with accountability for scope, technical architecture and delivery quality.
  • Team & Delivery: Built a 7-person engineering team from scratch, breaking procurement, inventory, order and finance requirements into a first-release scope and iteration plan, driving the ERP to first launch and supporting daily operations
  • Modular-Monolith Architecture: Given fast-shifting early business boundaries and team size, adopted a Spring Boot modular monolith to avoid premature microservice splitting; partitioned by business domain and governed the responsibilities and dependencies of 20+ core modules, balancing architectural evolution against maintenance cost
  • Full-Chain Integration: Connected 5+ systems — Amazon, Walmart, Yum ERP, an in-house ERP and standalone sites — through an internal canonical data model and adaptation boundaries, unifying procurement, product, order and inventory data across the chain and turning manual reconciliation from routine work into exception handling
Spring BootModular MonolithCross-Border E-Commerce ERPSystem IntegrationTeam Management
PatSnapSaaS · Patent / IP
Nov 2016 – Sep 2018 · Suzhou
Senior Backend Engineer · 1 yr 10 mos
Built configurable form, workflow and data-collaboration capabilities to meet enterprises' differing process and data-structure needs, reducing repeated customization cost in SaaS scenarios.
  • Form & Workflow Configurability: Separated the stable form-runtime mechanism from enterprise-specific configuration, designing a configuration model spanning form definition, rendering, validation, BPM orchestration and data distribution; supported 50+ business forms and cut repeated customization for new forms and clients
  • Event-Driven Data Collaboration: Designed the post-submission data routing and distribution pipeline, connecting BPM, the search engine and multiple business microservices per configuration; used Kafka for async decoupling, with retries and compensation to guarantee cross-service eventual consistency
Form EngineBPMSpring CloudKafkaEventual Consistency
Haibei Network TechnologyInternet · Mobile App
Jul 2014 – Nov 2016 · Suzhou
Full-Stack Engineer · 2 yrs 4 mos
Independently built the mobile-app backend on top of an existing web business, and continuously improved search, performance and automated delivery.
  • App Backend Build: Independently designed and built the mobile-app backend on top of the existing web system, standing up authentication, content services, search and push notifications within 2 months to ensure an on-time launch
  • Search & Performance Optimization: Introduced Elasticsearch for content search and Redis caching for high-frequency APIs, reducing hot-path latency and improving service stability
  • Automated Delivery Pipeline: Introduced Docker containerization and Jenkins CI/CD, establishing a continuous delivery flow across commit, build and release
App BackendElasticsearchRedisDockerJenkins CI/CD
Ci123Internet · Parenting Community
Jan 2013 – Jul 2014 · Nanjing
Full-Stack Engineer · 1 yr 6 mos
Developed activity and interaction features for a parenting community, covering requirements, front- and back-end implementation, system integration and launch.
  • Campaign Delivery: Independently delivered marketing campaign pages end to end — requirement breakdown, page implementation, interaction development, API integration and launch
  • Community Interaction: Built commenting, likes and sharing, and integrated the commenting system with the forum team
Full-Stack DevelopmentCampaign ProjectsCommunity InteractionSystem Integration