Daryl Rodrigo is a research engineer with 11 years of experience building and leading applied AI teams across startups and flagship AI labs, currently working on Gemini post-training at Google DeepMind. He has driven agentic reasoning and large-model projects at Meta and led research into interpretable, bounded agents as Tech Lead at Conjecture, blending deep RL knowledge with practical system design. As a former CTO and co-founder, Daryl has shipped real-world IoT and last-mile delivery platforms that harness AI to optimize energy and logistics under production constraints. He thrives at the intersection of research and product, moving ideas from prototype to scalable infrastructure while mentoring cross-functional teams. Based in Texas/Switzerland and trained in electronic engineering and deep reinforcement learning, he brings a systems-minded, curiosity-driven approach to aligning advanced models with useful, auditable behavior.
11 years of coding experience
10 years of employment as a software developer
King Edward's School Birmingham
Master of Engineering (MEng) Electronic Engineering with Mobile and Secure Systems, Master of Engineering (MEng) Electronic Engineering with Mobile and Secure Systems at University of Southampton
Deep Reinforcement Learning Artificial Intelligence, Deep Reinforcement Learning Artificial Intelligence at Udacity
Master's of Engineering Electronic Engineering, Master's of Engineering Electronic Engineering at National University of Singapore
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Daryl Rodrigo - Research Engineer at Google DeepMind