Tenzin C is an AI Engineer and PhD-trained information theorist based in Singapore with a decade of experience applying mathematically grounded methods to real-world problems. He specializes in higher-order maximum entropy estimation and the design of convex, tractable training objectives that improve stability and convergence for neural-data models beyond traditional second-order approaches. Tenzin blends deep research with practical engineering—transitioning from research roles at startups and labs to an AI engineering role at DP Architects—focused on deploying biologically-amenable algorithms in applied settings. Curious and product-minded, he pursues projects that accelerate reading and understanding through summarization and other automation tools, and he actively seeks collaborative opportunities to translate theory into scalable solutions.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Information Theory, Doctor of Philosophy - PhD, Information Theory at Singapore University of Technology and Design (SUTD)
Contributions:54 commits, 29 pushes, 1 branch in 1 year 8 months
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