Hung Phan Ngoc
Profile
Hung Phan Ngoc
- Lives in Ho Chi Minh City, Vietnam
- Started career as a researcher focusing in Computer Vision, and Energy-Efficient computing.
- Conducted research on Distributed Machine Learning, at UiT The Arctic University of Norway as part of a research lab.
- Served as an Artificial Intelligence Engineer at Bosch, contributing to the development of chatbots, recommendation systems, and manufacturing solutions.
- Joined CADDi in 2022, where I currently serve as a Machine Learning Enginee
Why you joined CADDi
I joined CADDi because I was inspired by its mission to transform the manufacturing industry through technology and data. As a machine learning engineer, I saw a rare opportunity to apply my skills to solve real-world, impactful problems in a sector that’s ripe for innovation. What attracted me most was CADDi’s strong engineering culture, the chance to work closely with cross-functional teams, and its global vision—offering both technical challenges and personal growth in an environment that values curiosity and ownership.
What you have done/you are doing at CADDi
Upon joining CADDi, I gained broad exposure and experience by working on a variety of initial projects, providing a foundational understanding of the diverse aspects of the Manufacturing sector. My current efforts are concentrated within the Drawing Data Intelligence team, where our strategic objective is to architect and implement a scalable AI solution for the seamless integration and deployment. This initiative is designed to democratize AI capabilities across the organization, facilitating smarter business decisions and driving operational efficiencies.
How CADDi's Engineers drive Innovation
At CADDi, our engineers are driving innovation by tackling complex, real-world challenges in manufacturing—an industry that still heavily relies on manual processes and fragmented data. We’re working to bring structure and intelligence to that chaos, whether it’s through leveraging machine learning to understand engineering drawings. What makes the work both challenging and interesting is the combination of technical depth and domain complexity—solutions aren’t always obvious, and often require a mix of algorithm design, system thinking, and close collaboration with experts in manufacturing and operations. The most exciting part is that we’re not just building features—we’re reshaping how an entire industry operates, one problem at a time.
What are your hobbies and how do you spend your days off?
On my days off, I love reading—mostly technical blogs. I also spend time tinkering with hardware and maintaining a small homelab, which gives me a fun way to explore system architecture and try out new tools or setups.