Computer Vision for Real-World Applications
Developing robust visual algorithms to solve challenging problems in industrial and scientific domains.
Software Systems Engineer · Ph.D.
Xiaosi Zhang
Building intelligent systems for real-world problems.
I am a Senior Software Systems Engineer at PDF Solutions, working on semiconductor inspection systems that combine computer vision, machine learning, and large-scale computing to solve challenging real-world problems.
I enjoy turning complex problems into practical, reliable solutions, from designing robust algorithms to building efficient systems that scale in production.
With a Ph.D. in EECS from Vanderbilt University, my background bridges semiconductor engineering, computer vision, and AI systems, giving me a practical perspective on both real-world applications and fundamental techniques.
From algorithms to real-world impact
What I Focus On
I care about building robust and efficient systems that solve real-world problems. Here are a few areas I work on and care about:
Efficient & Scalable Systems
Designing high-performance pipelines that are efficient, reliable, and ready for production use.
Data-Driven Solutions
Leveraging data and machine learning to improve system performance and automate complex workflows.
Turning Research into Practice
Bridging research, engineering, and product development to deliver practical tools and real-world impact.
Beyond Work
Outside of engineering, I enjoy photography, hiking, exploring new places, and spending time in nature. These moments help me stay curious, recharge, and bring fresh perspectives to my work.
Photography