GJH Résumé

Projects

Notesman | Multi-Agent Knowledge Workflow AI Agent / Product Engineer 2026.07 – 2026.08
Round 2: 200 → 7 (2nd into final); Round 3: 7 → 3 and hired
  • Designed a four-stage agent workflow — extract → reuse → draft → fact-check — decomposing long-content knowledge reuse into verifiable tasks.
  • Owned inter-agent task passing, prompt design, output constraints and workflow orchestration, turning one-shot LLM generation into a multi-stage, decomposable, verifiable pipeline.
  • Independently delivered requirement definition, PRD, system architecture, a runnable prototype and product demo — the full loop from problem definition to product validation.
  • Independently produced a 12-page product proposal and pitch deck, and presented in a live demo — able to translate technical solutions into business language.
github.com/gao666-max/notesman-fde
Keywords Multi-Agent · Agent Workflow · Prompt Engineering · PRD · Prototype
Horizon Startup 72h Hackathon | OPC Founder AI Workbench Backend Lead 2026.07
  • Used Claude Code as the primary coding agent to deliver the backend 0→1 with 15 APIs in ~24 hours.
  • Built an "AI generate → human review → hand-written tests → bug localization → fix" collaboration loop, catching 3 critical edge cases, including a false trigger of req.on('close').
  • Wrote HANDOFF.md to structure project background, architecture, APIs and context so a fresh AI agent can quickly resume development.
  • Established an AI-native collaboration workflow: AI handles high-frequency execution; humans own requirements, architecture judgment, testing and quality control.
Keywords AI Coding · Backend API · Debug · Testing · Code Review
Seedling Farm Accounting Assistant | Full-stack AI App Independent Design & Development 2026.03 – 2026.04
Weekly bookkeeping 2h → 30min, ~500 records/month, ~3× efficiency
  • Solved the problem of turning a seedling farm's WeChat chat records into bookkeeping data by designing a full pipeline: natural-language input → AI extraction → structured ledger → Feishu template.
  • Independently built the AI processing logic, frontend interactions and app, turning unstructured chat into standardized income/expense records with one-click Feishu template generation.
  • Covered AI information extraction, structured data handling, UX and deployment — a closed loop from real problem discovery to shipped product.
Keywords LLM Application · Information Extraction · Structured Data · Real-world AI
Continuous AI Building | Personal AI Tool Matrix Independent Developer 2026 – Present
  • Resume Tailor Job Workbench: an all-in-one job-hunting workbench (JD analysis → résumé tailoring → AI mock interview).
  • Unified Video Tool: video content extraction, text processing and image/PPT generation.
  • Photo Zine Studio: an AI tool that turns ordinary photos into posters / visual content.
  • Continuously exploring agents, content generation, multimodal processing and AI product workflows, building a fast idea-to-demo habit.
Keywords Rapid Prototyping · Multimodal · AI Coding · Product Thinking
Notesman | Multi-Agent Knowledge Workflow · Product Owner Requirement Definition / Product Proposal / Prototype 2026.07 – 2026.08
Round 2: 200 → 7 (2nd into final); Round 3: 7 → 3 and hired
  • Defined the problem from 0: identified repetitive labor in long-content knowledge reuse, and designed a four-stage AI workflow — extract → reuse → draft → fact-check.
  • Independently produced requirement definition, PRD, system architecture, a runnable prototype and product demo — the full problem → solution → validation loop.
  • Independently produced a 12-page product proposal + pitch script, and presented in a live demo, translating technical solutions into business-friendly language.
  • Owned inter-agent task passing, prompt design and output constraints, ensuring the multi-stage pipeline is decomposable, verifiable and deliverable.
github.com/gao666-max/notesman-fde
Keywords Requirement Analysis · PRD · Product Proposal · Presentation · Agent Workflow
Seedling Farm Accounting Assistant | Business Problem → AI Product Loop Independent Design & Development 2026.03 – 2026.04
Weekly bookkeeping 2h → 30min, ~500 records/month, ~3× efficiency
  • Started from a real inefficiency in the family seedling farm, turning the manual "WeChat records → bookkeeping data" process into an automatable AI workflow.
  • Designed and shipped the full natural-language input → AI extraction → structured ledger → Feishu template chain, owning all development and deployment.
  • Deployed, used it for real and iterated continuously, validating AI's real user value in a vertical niche scenario.
Keywords Business Understanding · Process Mapping · AI Deployment · User Value Validation
Horizon Startup 72h Hackathon | Backend Lead AI Native Engineering 2026.07
  • Used Claude Code as the primary coding agent to deliver the backend 0→1 with 15 APIs in ~24 hours, owning delivery cadence and priorities.
  • Built an "AI generate → human review → hand-written tests → bug localization → fix" quality loop, catching 3 critical issues, including a false trigger of req.on('close').
  • Wrote HANDOFF.md to capture project context so a new AI agent or teammate can quickly take over development.
Keywords Project Driving · Delivery Cadence · Quality Control · AI Coding
Continuous AI Building | Personal AI Tool Matrix Independent Developer 2026 – Present
  • Resume Tailor Job Workbench: an all-in-one job-hunting workbench (JD analysis → résumé tailoring → AI mock interview).
  • Unified Video Tool: video content extraction, text processing and image/PPT generation.
  • Photo Zine Studio: an AI tool that turns ordinary photos into posters / visual content.
  • Continuously validating ideas into runnable demos, building a stable 0→1 development habit.
Keywords Rapid Prototyping · Product Thinking · 0→1 Validation

Technical Project

RK3588 Multi-stream Video AI Inference Pipeline | Embedded AI Source Reading & Pipeline Analysis
  • Systematically read and mapped an RK3588 multi-stream video AI inference project, analyzing the full end-to-end data flow: FFmpeg ingest → MPP decode → NV12/BGR conversion → RKNN NPU inference → post-processing/NMS → multi-model fusion → MPP encode → RTMP push.
  • Focused on NPU I/O, video frame processing, and decoupling of producer and consumer queues to understand the full embedded AI video inference pipeline.
  • Familiar with C++ / Linux / FFmpeg / MPP / RKNN / NPU engineering code.
Keywords Embedded AI · C++ · Linux · NPU · Pipeline Analysis

Internship

Smart Agriculture Research Institute | Data Annotation Intern 2026.01 – 2026.02
  • Handled image data annotation and quality checks, completing ~4000 annotation points/day at 95%+ accuracy.
  • Performed annotation, review, and correction according to project standards, gaining familiarity with AI data production and basic data quality control.

Education

Tianjin Normal University Software Engineering | Bachelor 2024 – 2028

Core courses: Python, C++, Java, Web Development, Data Structures, Computer Organization, Operating Systems, Linux, Software Engineering, Software Quality Assurance & Testing

  • 2025 National College Mathematical Modeling Contest | Municipal 2nd Prize
  • 2025 University 2nd-class Scholarship
  • China International College Innovation Competition | University 3rd Prize
  • CET-4