01 / STRUCTURE
Clean pipelines over clever demos.
I care about predictable inputs, explicit handoff points, and systems that can be inspected when something breaks.
Systems-minded engineer with an embedded background and a production software bias.
I'm Haotian (Nitro) Zhang. I build intelligent systems that connect simulation, perception, and real operations, and I care most about whether those systems hold up once they leave the demo environment.
Recent work has focused on two tracks: a CARLA-based traffic hazard analysis pipeline using RGB-LiDAR fusion, and an enterprise Lean Activity Management Platform that turns manufacturing improvement work into a searchable, governed operational system.
What I optimize for in real systems.
02 / EVALUATION
Measurable outputs over vague claims.
I prefer validation frameworks, retrieval performance, and defensible comparisons over screenshots that only look complete.
03 / OPERATION
Long-term usefulness over one-time polish.
Governed access, maintainable backend design, and interfaces that support real users matter more than short-lived novelty.
Work that shaped how I build.
Software Engineering Intern - Boeing Tianjin Composites Co., Ltd.
- Designed and deployed a full-stack Lean Activity Management Platform supporting ~900 internal users, centralizing continuous-improvement cases across departments.
- Implemented a secure ASP.NET Core (.NET 10) backend with cookie-based authentication, role-based access control, and administrative governance workflows.
- Built high-performance search, filtering, and analytics APIs (Dapper + SQL Server) enabling rapid retrieval and statistical analysis of improvement outcomes.
Research Assistant - IAS Laboratory, University of California, Irvine
- Built a traffic hazard analysis pipeline in CARLA, producing and processing 50K+ multimodal samples (RGB + LiDAR) across data generation, cleaning, inference, validation, and benchmarking.
- Designed a 0-1 hazard scoring evaluation framework to compare model predictions against human annotations.
- Used RGB-LiDAR fusion together with synthetic edge-case datasets to validate outputs and benchmark inference behavior across hazard scenarios.
System Testing Intern - Boeing Tianjin Composites Co., Ltd.
- Automated manual workflows using Python scripts, improving product delivery efficiency by 60% and saving 4+ hours weekly.
- Conducted system testing for a Manufacturing Execution System (MES), identifying and logging over 50 software bugs.
- Trained 20+ users on MES operations and authored user manuals and deployment documentation.