Summary
Vinay Hiremath is a research scholar and AI policy practitioner with 11 years of software and research experience, blending a MSc in Neural Systems and Computation from ETH Zürich with hands-on ML engineering and teaching roles. He focuses on AI safety, technical alignment, and governance—applying deep technical fluency (transformers, ResNets, diffusion models, distributed training) to policy-relevant risk management at organizations like GovAI and IAPS. His background spans backend engineering, functional-programming exposure (Clojure), and curriculum design for alignment bootcamps, giving him a rare bridge between implementation detail and governance strategy. Based in London, he’s an active open-source tinkerer and educator who also brings interdisciplinary interests in urbanism, animal rights, and vegan cooking that inform a systems-minded approach to public infrastructure and ethics.
11 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Computer Science and Cognitive Science, Bachelor's Degree, Computer Science and Cognitive Science at University of Michigan
High School, High School at International Academy
MSc, Neural Systems and Computation, MSc, Neural Systems and Computation at ETH Zürich
English, Spanish, Kannada