Tek Chhetri is a Postdoctoral Associate at MIT with a decade of experience bridging academic research and software engineering, focused on structuring knowledge and governing trustworthy AI for reliable discovery. He holds a PhD in Computer Science from the University of Innsbruck and advanced degrees from the University of Tartu, with a research track spanning visual-inertial odometry, SLAM, sensor fusion, parallel programming, and trustworthy intelligence. His background includes research and teaching roles across Europe and industry experience building web and health IT systems, reflecting an ability to translate theory into production-ready software. Comfortable teaching courses on parallel programming and networking, he also brings hands-on development skills from freelance and startup work, having delivered end-to-end applications using modern web stacks. Colleagues describe him as someone who blends rigorous academic methods with pragmatic engineering, often surfacing governance and reproducibility concerns that are easy to overlook.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Jawaharlal Nehru Technological University, Kakinada
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universität Innsbruck
Master's degree, Computer Science, Master's degree, Computer Science at University of Tartu
Summer School, Enabling Technologies for Industrial Internet of Things (ET-I2oT 2019), Summer School, Enabling Technologies for Industrial Internet of Things (ET-I2oT 2019) at Università di Pisa
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