Summary
Huitong Pan is a software engineer and PhD in Computer Science specializing in NLP and Computer Vision, combining eight years of applied research and industry experience to build production-ready AI systems. Now at Google in Sunnyvale, he has a track record of improving model performance and efficiency—e.g., boosting image segmentation accuracy by 20% and cutting NER processing time by 30% through fine-tuning and data augmentation. Comfortable across the stack, Huitong codes in Python, Java, SQL and deploys models on-device with TensorFlow Lite and C++ integrations from prior medical and edge-compute projects. His background spans medical imaging, security camera object detection, and multimodal research with hands-on experience in transformers, generative models, VLMs, knowledge graphs and reinforcement learning. He thrives in Agile, cross-functional teams and translates academic rigor into measurable business impact for marketing, advertising and healthcare applications. Less obvious: he pairs deep technical depth with teaching and mentorship experience from his PhD, giving him strength in communicating complex ideas to diverse stakeholders.
8 years of coding experience
1 year of employment as a software developer
Serangoon Junior College
Associate’s Degree, Business Administration and Management, General, 4.00, Associate’s Degree, Business Administration and Management, General, 4.00 at Northern Viginia Community College
Master's degree, Data Science, 3.87, Master's degree, Data Science, 3.87 at University of Virginia
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Temple University
Bachelor’s Degree, Finance, IT, Quantitative Finance, Business Analytics, Bachelor’s Degree, Finance, IT, Quantitative Finance, Business Analytics at McIntire School of Commerce
English, Chinese, Chinese