Adam Malyali is a data scientist and ML engineer with eight years of experience bridging academic research and production-grade machine learning. He holds a PhD in Astrophysics and spent several years at the Max Planck Institute applying ML to time-domain X-ray astronomy before transitioning to fraud detection at Ravelin Technology. Comfortable with both research-grade modelling and engineering for real-world systems, he specialises in anomaly detection and time-series problems. Based in London, he blends deep domain expertise with practical deployment experience, often translating complex scientific methods into robust, scalable solutions. A less obvious strength is his fluency in communicating advanced quantitative ideas to cross-functional teams, enabling fast iteration from prototype to production.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.), Natural Sciences (Physics), Bachelor of Arts (B.A.), Natural Sciences (Physics) at University of Cambridge
Doctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at Ludwig-Maximilians-Universität München
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