Raza Habib is a machine learning engineer and founder with a decade of experience building production-grade AI systems, currently a Member of Technical Staff at Anthropic after cofounding and leading Humanloop, a shared workspace for developing and evaluating LLM applications. He holds a PhD in probabilistic deep learning from UCL and combines deep research credentials with hands-on startup execution from stints at Monolith AI and Google AI. His work spans controllable speech synthesis to developer tooling for LLMs, reflecting a knack for turning research ideas into developer-facing products. Based in San Francisco with a background in physics from Cambridge, he brings both rigorous probabilistic modeling skills and operator-level product sense—he also has a track record of stepping between research and business roles, which helped him scale Humanloop from idea to market.
10 years of coding experience
2 years of employment as a software developer
Natural Sciences BA Hons and MSci Physical Sciences, Natural Sciences BA Hons and MSci Physical Sciences at University of Cambridge
Contributions:9 pushes, 1 branch, 1 comment in 10 months
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