I am a
- .NET Software Engineer
- AI Full-Stack Developer
- M.Sc. in CS, NJUST
Software engineer with research background in computer vision, now building enterprise .NET solutions and AI-powered medical applications.
months worked
languages
hospitals deployed
national awards
C# / enterprise logistics platform
MCP + LLM for medical Q&A
Medical image segmentation, CCF-A / SCI Q1
Industry, projects, and academic highlights
Upgraded MailKit (v4.11.0 → v4.14.1) and resolved diamond dependency conflicts in mixed .NET Framework 4.8 / .NET Standard 2.0 environment. Added NTLM auth fallback for Exchange Server compatibility, covering 100% of legacy on-premise deployments and reducing email integration incidents by ~30%.
Fixed ThreadSentry cross-thread access in BusinessObjectFactory and GDI handle leak (120+ Factory objects) via WeakReference tests, reducing related memory-pressure crashes by ~90%.
Refactored audit log reporting by moving to dedicated audit DB, read/write separation, and index tuning; cut peak report load time by ~55% and reduced main-DB I/O pressure by ~40%.
Fixed NXML export permission bypass and scheduled reports logic flaw. Patched CVE vulnerabilities, eliminating two privilege-escalation paths and hardening data access for 100% of scheduled reports.
Adapted legacy WinForms to Blazor: fixed async race conditions, mouse event simulation, stream timeouts, and recursive event propagation; reduced UI regression defects by ~35% and improved frame response consistency.
Refactored Playwright E2E tests to modern Locator API, eliminating hard-coded waits; reduced CI flaky-failure rate by ~50% and cut test maintenance effort by ~30%.
Implemented tax type mapping and rule engine for NTS compliance; refactored legacy country code logic, achieving 100% coverage of required tax categories and reducing e-invoice rejection risk by ~80%.
Full-stack dashboard for physical exam centers, deployed at Beijing Shijitan Hospital and Shanghai Fourth Hospital. 6 analysis tabs, real-time room utilization, patient tracking, and MCP-based LLM Q&A with PPT export; improved checkup room utilization by ~25% and cut manual reporting time by ~70%.
Analytics platform for MRI booking: trend analysis, drill-down, and AI-driven parameter optimization with tool calling; improved scanner utilization by ~20% and reduced scheduling conflicts by ~40%.
AI-assisted ward system with patient prediction, waiting area distribution, and dual-mode video analytics (crowd counting & fall detection); reduced missed fall alerts by ~85% and improved patient-flow response time by ~30%.
NodeJS backend connected to hospital SQL Server + LLM. Users describe needs, system matches SQL templates, generates dynamic HTML/JS apps and deploys them with lifecycle management; reduced ad-hoc report development time by ~75% and lowered SQL template reuse cost by ~60%.
NextJS-based test platform that auto-generates test cases and executes stored procedure-level tests, producing full reports; increased regression test coverage by ~60% and reduced manual verification effort by ~70%.
Selected achievements during academic years
ACM-ICPC Asia Regional Silver (Captain)
ACM-ICPC Asia Regional Bronze (Captain, multiple)
National Scholarship (undergrad) 3/812
National Scholarship (postgrad) 4/1086
Lanqiao Cup Python Grad Group 1st Prize (Jiangsu #1, National #4)
National College CS Design Competition 1st Prize
Lanqiao Cup C++ Group A 2nd Prize
CCF-CSP Top 0.86%
Jiangsu Collegiate Programming Contest Gold (Captain, multiple)
Huawei Software Elite Challenge 2nd Prize (14/1041)
Zhishu Zhidao Programming Contest 3rd Prize
First-author CCF-A (IEEE VIS) + SCI Q1 (IEEE TIP)
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