Caleb Jiang
SWE@Honeywell | Industrial Automation & AI | Supply Chain & Packaging - Automotive | TSC Member @ InfiniEdge AI, LF Edge
- Role
- Software Engineer at Honeywell Technologies
- Location
- Cincinnati, OH, US
- LinkedIn followers
- 500 followers
About Caleb Jiang
Caleb Jiang is a passionate and skilled software engineer at Honeywell, committed to developing innovative, real-world solutions. He has many years of experience in supply chain and automotive packaging. He earned his Master’s degree in Computer Science from The University of Texas at Dallas and his Master\'s degree in Mechanical Engineering from The University of Science and Technology Beijing, graduating in the top 10% of his class. With seven years of combined industry and academic experience, Caleb has contributed to cutting-edge projects in automation and artificial intelligence, holding 12 patents and 3 publications in these fields.His technical toolkit includes C++, C#, Java, Python, SQL, HTML, CSS, JavaScript, and frameworks like Hadoop, TensorFlow, and PyTorch. He is especially proficient in Robot control, Full-Stack Development, and artificial intelligence.Driven by curiosity and purpose, Caleb is dedicated to leveraging his expertise to build impactful technologies that solve real-world challenges.
Experience
Software Engineer
Jun 2025 — Present · Mason, OH, US
Industrial IoT & Automation in material handling industry.Working on warehouse machine control using PC and PLC and proactive maintenance using AI- Working on the development of integrated PC and PLC software control systems for warehouse automation, enabling real-time operation and data streaming from physical assets. This project will establish the data foundation for future digital twin initiatives- Currently researching and developing predictive maintenance solutions by leveraging historical sensor data and machine learning algorithms to anticipate mechanical failures and optimize equipment uptime- Will work on seamless communication protocols between PC-based systems and PLCs, ensuring efficient and accurate data transfer from the factory floor to the control layer for future IIoT deployments.
Education
University of Science and Technology Beijing
Master of Mechanical Engineering
The University of Texas at Dallas
Master's degree, Computer Science
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