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Monograph · Human Context

About & Operating Profile

The trajectory, operating philosophy, and human context behind the public proof chain.

Operating Thesis

“I believe the future of software isn't more code — it's taste, restraint, and verifiable leverage.”

AI product engineer focused on turning real workflow pain into usable tools. My strongest direction is the intersection of product sense and engineering execution: identify a repeated operational problem, design a lightweight system around it, ship the tool, document the method, and keep improving it with feedback.

0
Production Incidents
1,884
Source Files Mapped
87%
Parameter Reduction
Digital Twin Operating Loop
File-First Operating ArchitectureInspect System
Section I · Capabilities

Operating Dossier

Business Security & Quality Architecture● Zero P0/P1 Production Record
Stage 01
Traffic Gateway
Anti-crawler & isolation
Stage 02
Circuit Breaker
Degradation switches
Stage 03
Auto Regression
95% API + UI coverage
Stage 04
Release Gate
120+ initiatives guarded
IEEE ICCECT · Model Compression Proof+0.5% mIoU
Baseline Segmentation Backbone100% Params
Self-Supervised MobileViT (Ours)-87% Params (13%)
  • Built Digital Twin as a file-first operating layer that turns personal knowledge, skills, and writing rules into executable agent workflows.
  • Built CLIProxyAPI to expose OpenAI/Gemini/Claude/Codex-compatible APIs for coding tools, including OAuth login, provider routing, and multi-account load balancing.
  • Built ManageUp as an anti-fluff workplace communication system, packaged as both an npm-published MCP server and reusable skill library.
  • Published Claude Code Sourcemap as a research/tutorial project, translating 1,884 recovered source files into an accessible architecture learning path.
  • Championing full-lifecycle AI integration across the SDLC — from feasibility analysis and PRD/TD generation to code review, test design, UAT, launch verification, and post-release maintenance.
  • Built a team knowledge base to reduce LLM hallucinations and improve test case generation accuracy to 90%.
  • Developed an internal AI agent for policy consultation, workflow routing, and data queries, reducing transactional workload by 30%.
  • Designed prompt templates for code review and test generation, improving usable AI output from 50% to 85%.
  • Integrated AI-assisted review and test generation into CI/CD, cutting manual process cost by 30% and increasing incremental code coverage by 20%.
  • Introduced end-to-end release checkpoints from requirement review to merge and production rollout for high-frequency, high-risk delivery environments.
  • Designed a pipeline gatekeeping system combining risk scanning, compliance validation, and automated regression checkpoints with full audit traceability.
  • Scaled the governance model to 5 business lines, reducing rollback rate by 40% and manual audit cost by 40%.
  • Improved MobileViT semantic segmentation models with PyTorch, reducing parameter count by 87% while maintaining accuracy.
  • Introduced unsupervised saliency estimation and self-supervised contrastive learning.

Education & Honors

Full Record
Chengdu University of Technology
B.S. Computer Science (2020 – 2024)
Ranked 1st in comprehensive major ranking across four years
National First Prize, China University Computer Game Competition; two Lanqiao Cup provincial awards

Skills & Technologies

TypeScriptPythonReact / Next.jsNode.jsGoCI/CD PipelinesAPI AutomationLLM Integration & AgentsPrompt EngineeringPyTorchQuality GovernanceProduct Sense & DiscoveryTechnical WritingMCP / Custom Tooling

Product Signals & Certifications

  • Problem discovery rooted in repeated workflow friction
  • Writing-first productization: clear specs, tutorials, architecture maps
  • Open-source packaging: npm packages, MCP servers, GitHub Pages
  • Cross-functional communication: translating technical complexity into clear business value
CEFR C2 English Proficiency (IELTS 8.0 equivalent)Intermediate Software Test Engineer (China Software Evaluation Center)NCRE-2, JavaCET-6
Section II · Chronology

The Journey (2020 — 2026)

#14Apr 2026

Driving AI adoption across the full SDLC

Leading the initiative to integrate AI into every stage of the software lifecycle — from feasibility analysis and PRD generation to code review, test design, UAT, and post-launch verification. The role of engineers is shifting from repetitive execution to research-oriented problem solving.

AICareer
Open
#13Mar 2026

Launched this website with AI-assisted workflows

Built my personal site using AI-native workflows with Cursor and Codex. The work is packaged as public pages, MDX writing, and deployment automation.

AICareer
Open
#12Jan 2026

Reached C2 English proficiency at EF

After enrolling at EF Education in late 2024, completed the program and achieved C2, the highest proficiency level. English opened access to global engineering communities and a broader professional world.

GrowthEnglish
#112025

All in on AI — Agents, MCP, Prompt Engineering

The entire industry shifted to AI. Concepts like Agent, Skills, MCP, and prompt engineering became core vocabulary. Embraced Cursor, Claude Code, and Codex as the new default way to build software.

AICareer
Open
#10Late 2024

Breaking free from student thinking

Working full-time exposed how rigid the 'student mindset' was. Started actively shedding it — learning to think in business impact, not just technical correctness.

GrowthMindset
#09Jun 2024

Joined a leading e-commerce company as Software Engineer

Transitioned from internships to a full software engineering role in business security. Working on high-traffic systems at scale. Proudest achievement: zero production incidents across all products I own.

Career
Open
#082023–24

6 internship roles in rapid succession

Gaming, cross-border tech, recruitment SaaS, enterprise BI, and university lab work — six internship roles that compressed months of learning into weeks.

Career
Open
#07Sep 2023

Chose industry over academia — full commitment

Decided to go all-in on industry rather than pursuing postgraduate studies. No plan B. That clarity accelerated everything that followed.

GrowthCareer
#06Jan 2023

Published first IEEE paper as lead author

Self-supervised few-shot semantic segmentation, published at ICCECT 2023. Reduced model parameters by 87%.

CareerAI
Open
#052022–23

Junior year: deep academic focus

Dedicated the year to research and paper writing. Published an IEEE paper on few-shot semantic segmentation the following January.

Education
Open
#042021–22

Sophomore year: leadership + academic momentum

Vice secretary of Youth League Committee. National Game AI Competition 1st prize (Monte Carlo Tree Search + RL). Consistency compounds.

EducationCareer
Open
#032020–21

Freshman year: adapting to university life

First year away from home. Navigated the transition to independent living and built the study habits that powered the next three years.

EducationGrowth
#02Sep 2020

Chose Computer Science

Scored well on the Gaokao with real choice. Public career guidance content shaped my decision toward CS — the people who influence our paths don't always know they did.

EducationGrowth
Open
#01Jun 2020

高考: top of class in science

Graduated as the science top scorer after three years of focused, disciplined study. The result that opened the door to Computer Science.

EducationGrowth