General-Purpose Industrial Equipment Monitoring and Data Processing Platform
A configurable Windows application for multi-source equipment data acquisition, signal processing, and online anomaly monitoring.
View project →Hi, I'm
王治全 · Chih-Chuan Wang
Building industrial equipment software with C# and .NET
Hi, my name is Jerry Wang. I'm a software engineer with a mechanical engineering background, building industrial monitoring systems and device integrations with C# and .NET. I've been building software professionally since 2023, though I got my start writing an MES plugin during my undergrad at NCU — which is also where I decided mechanical engineering was mostly an excuse to write more code.
Technical Skills
Applications & Software Architecture
Industrial Equipment & Connectivity
Data Processing & Applied AI
Deployment & Infrastructure
Experience & Education
Work Experience
Delta Electronics, Inc.
Senior Software Engineer · SMPBD
Industrial Technology Research Institute (ITRI)
Associate Engineer
Mechanical and Mechatronics Systems Research Laboratories
Intelligent Software Technology Department
Developed C#/.NET industrial applications for equipment connectivity, data acquisition, monitoring, and model-service integration. Responsibilities included sensor installation, data processing, system architecture, on-site validation, deployment, and maintenance.
Education
National Central University · M.S. in Mechanical Engineering
IoT-based Manufacturing Laboratory
Thesis: Tool Life Prediction Using a Divide-and-Conquer Approach
Research covered sensor installation, data acquisition, analysis, and predictive modeling.
National Central University · B.S. in Mechanical Engineering
Opto-Mechatronics
Capstone: MES Engineering Change Notification Plugin for a Cyber-Physical Factory
Research Presentation
The 19th International Conference on Automation Technology
Discussion of Tool Remaining Useful Life using Residual Networks and Conservative Loss Function
Selected Projects
A configurable Windows application for multi-source equipment data acquisition, signal processing, and online anomaly monitoring.
View project →A Windows desktop application that brings equipment-specific model APIs and local statistical analysis into a consistent user workflow.
View project →A multi-machine application connecting field measurements to energy monitoring, model-based prediction, and future energy-saving decisions.
View project →A WPF desktop product providing a unified interface for machining-anomaly and tool-wear modeling services.
View project →A local-LLM proof of concept that turns equipment-utilization data into hourly diagnostic reports and a manager review workflow.
View project →Contact