Alexander Havrilla is a research scientist at Google DeepMind with eight years of experience at the intersection of reinforcement learning and large language models, building methods for open-ended reasoning and synthetic data to improve AI reasoning. He holds a Doctor of Science in Machine Learning from Georgia Tech and has a track record of research internships at Meta, Microsoft, and Google, plus leadership in the open-source research group CarperAI where he helped drive practical RL-from-human approaches. His work spans theoretical probability research at CMU to applied model fine-tuning and synthetic data generation, reflecting both rigorous foundations and engineering impact. Based in the UK, he combines academic depth with startup-style initiative—evident from co-founding CarperAI and winning a StabilityAI PhD fellowship—making him adept at moving ideas from theory to open-source tools and production research.
8 years of coding experience
4 years of employment as a software developer
Doctor of Science Machine Learning, Doctor of Science Machine Learning at Georgia Institute of Technology
Mathematics and Computer Science, Mathematics and Computer Science at Carnegie Mellon University
Diploma College Prep, Diploma College Prep at Woodland Hills Junior Senior High School
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Alexander Havrilla - Research Scientist at Google DeepMind