Summary
Hoang Do is an algorithmic vision researcher and full-stack engineer with 11 years of experience building data-rich maps, embedded smart devices, and computer vision systems from Hanoi. Comfortable across JavaScript, Python, Java and Go, he bridges hardware and software—experimenting with optical sensors, IoT, streaming tools and CV techniques to turn sensor data into actionable products. Currently at Dystill Vision, he combines research-grade algorithm design with pragmatic FastAPI/Next.js and PostgreSQL stacks to deploy edge-capable systems. His background spans data mining, product founding and regional sales, giving him a rare mix of technical depth and product-sense that helps move prototypes into fielded devices. Notably, he pairs physics training and financial-engineering study with hands-on embedded work, favoring practical experimentation over theory alone.
11 years of coding experience
8 years of employment as a software developer
AP Calculus & Physics, AP Calculus & Physics at George Washington High School
Visiting Scholar, Financial Engineering, Visiting Scholar, Financial Engineering at University of California, Berkeley
Specialized in Physics, Specialized in Physics at Hanoi-Amsterdam High School for the Gifted
Bachelor of Arts - BA, Business/Managerial Economics, Bachelor of Arts - BA, Business/Managerial Economics at Ohio Wesleyan University
English, Vietnamese