Khurom Kiyani is a Lead Data Scientist with 11 years of experience blending a strong physics research background and practical ML/ML‑ops to build production-grade models across energy, retail and fintech. He has led data science teams at Octopus Energy, Shell, Bulb and Deliveroo, and brought recommender, credit-risk and time-series expertise into product-focused roles including ML Ops for Gucci’s recommendations and search. Trained as a physicist with a PhD in statistical physics of turbulence, he combines rigorous signal-processing and HPC experience with hands-on Python backend engineering (FastAPI, SQLAlchemy, Spark) to bridge research and production. Notable strengths include scaling IoT data pipelines (120 TB processing at ASI), applied personalization and A/B‑tested model deployments that drove measurable business uplift, plus a knack for translating complex scientific methods into pragmatic product features.
11 years of coding experience
12 years of employment as a software developer
PhD Statistical Physics of Turbulence, PhD Statistical Physics of Turbulence at The University of Edinburgh
MSci -- Undergraduate masters program Physics, MSci -- Undergraduate masters program Physics at Imperial College London
Mauscript files for paper on Sub-ion scale intermittency and topological transition
Contributions:2 PRs, 6 pushes, 5 branches in 2 years 9 months
transitionscaleion
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