Top expert inComprehensive Tech Knowledge: Machine Learning, DevOps, and Software Engineering
Nam Vu is a product-focused founder and engineer with 13 years of experience building AI- and IoT-driven products that deliver measurable social impact, most notably as Founder & CEO of tMonitor, an award-winning air quality startup recognized by Startup Wheel and the Open Business Council. He blends hands-on full-stack development—evidenced by contributions to the popular open-source LLM app Dify—with product leadership roles at Isidore Technology and previous CEO/COO stints, enabling him to move prototypes to production. Nam’s background spans machine learning research for radiation oncology systems and self-taught AI education initiatives, including a Machine Learning for Software Engineers community of over 25,000 members. He paused PhD studies to scale startups, demonstrating a bias for real-world impact and cross-disciplinary collaboration between academia, industry, and global customers.
14 years of coding experience
11 years of employment as a software developer
Intel® Edge AI Scholarship Foundational Intel, Intel® Edge AI Scholarship Foundational Intel at Coursera
On Job Training Control Console System for a Radiation Therapy Machine, On Job Training Control Console System for a Radiation Therapy Machine at R&D Center, Las Vegas, NV. USA
Le Quy Don High School for the Gifted-Dien Bien
On Job Training Machine learning with Raspberry Pi Developer, On Job Training Machine learning with Raspberry Pi Developer at R&D Center, Okinawa, Japan
Mini Master of Business Administration - MBA, Mini Master of Business Administration - MBA at Crimson Business Institute by Harvard Business School
Bachelor Software Engineering, Bachelor Software Engineering at FPT University
Asian Summer School Remote Sensing and GIS, Asian Summer School Remote Sensing and GIS at Asian Institute of Technology
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Role in this project:
Full-stack Developer
Contributions:67 PRs, 24 comments in 10 months
Contributions summary:Nam primarily focused on front-end development, fixing UI issues such as z-index and dimensions in Firefox. They also addressed routing problems on the Explore page and implemented features, like Latex support, by modifying Markdown rendering components and improving i18n translations. Furthermore, the user contributed to the backend by supporting Celery auto-scale and fixing a validation issue within the settings modal, showcasing familiarity with the app's infrastructure.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Contributions:2 PRs, 121 pushes, 103 branches in 9 months
aigollmmodel-managementobservability
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