Resident Fellow at National University of Singapore
San Jose, California, Singapore
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Summary
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Rockstar
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Top School
Jovan Tan is an academic-practitioner combining a decade of experience in sustainability innovation, entrepreneurship, and tech-enabled impact, currently directing the Sustainability Action and Innovation Lab and teaching at the National University of Singapore. He blends research (PhD candidate in Innovation and Sustainability) with hands-on startup building and advising—co-founding REAL IMPACT and Poowf Labs and helping scale TRIA’s sustainable packaging solutions. Technically capable, he contributes to open-source ML/DevOps work (e.g., DELTA) and has practical backend, CI, and Docker expertise alongside C++ practice projects. A World Economic Forum fellow and adjunct at SMART, he shapes industry-facing initiatives on circular economy and advanced manufacturing while mentoring early-stage ventures. Known for first-principles thinking, he moves fluidly between classroom, lab, and boardroom to translate sustainability science into deployable systems and business models. Based in San Jose with roots in Singapore, he pairs global perspective with local execution.
11 years of coding experience
10 years of employment as a software developer
Diploma in Engineering With Business, Diploma in Engineering With Business at Singapore Polytechnic
Bachelor of Innovation & Entrepreneurship Entrepreneurship/Entrepreneurial Studies, Bachelor of Innovation & Entrepreneurship Entrepreneurship/Entrepreneurial Studies at University of Adelaide
GCE 'O' Levels, GCE 'O' Levels at Outram Secondary School
Doctor of Philosophy Innovation and Sustainability, Doctor of Philosophy Innovation and Sustainability at National University of Singapore
Contributions:6 reviews, 79 commits, 25 PRs in 5 years 1 month
Contributions summary:Jovan primarily contributed to the development of C++ code, specifically focusing on exercises and examples from the "C++ Primer" book. Their work involved adding and updating code for various chapters, including code related to strings, vectors, arrays, functions, and classes. The changes suggest a focus on learning and practicing C++ programming concepts, with the addition of chapters for organized structure. This user appears to be focusing on a hands-on approach by building out the examples.
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
Role in this project:
Back-end & DevOps Engineer
Contributions:94 commits, 28 PRs, 74 pushes in 9 months
Contributions summary:Jovan primarily contributed to the project by adding documentation and updating installation scripts. They also fixed bugs within the CI environment and updated build configurations. Their contributions included modifications to Dockerfiles, build scripts, and installation scripts, indicating a focus on build processes and infrastructure.
aideep-learningspeech-processingnlptensorflow
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