Summary
Pascal Dao is a Solutions Architect focused on GenAI startups at AWS, bringing eight years of hands-on experience across embedded systems, cloud deployments, and edge ML research. He holds a PhD in Computer Engineering and has bridged academia and industry as a graduate researcher in edge ML while shipping production software in C#, Python, Java and C++. Pascal’s background spans stealth AI startups to large-scale cloud operations—containerizing services, running Azure pipelines, and automating deployments with Ansible. He pairs low-level embedded expertise from roles at Jaycon Systems and Tomahawk Robotics with modern ML deployment experience, making him fluent in both hardware-constrained inference and scalable cloud architectures. Based in Boston, he’s comfortable translating cutting-edge research into practical, secure solutions for startups accelerating with generative AI. An understated strength is his track record of moving between research and production quickly, accelerating time-to-market for novel ML-powered products.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Florida Institute of Technology
French