// Hello, I'm

Dr. Usman
Kayani

I build

Senior Data Engineer at Quantexa R&D  ·  PhD Applied Maths & Theoretical Physics  ·  MSci Integrable Quantum Spin Chains  ·  King's College London

Apache Spark Python Scala Quantum Gravity Spin Chains Supergravity GCP Airflow AI/ML
About Me View CV Blog
15+
Years Coding
5
Publications
PhD
Maths & Physics
Dr. Usman Kayani
Physics animation
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Expertise

What I Do

Bridging the worlds of big data engineering and theoretical physics.

Data Engineering & AI Pipelines
Senior Data Engineer at Quantexa R&D, architecting AI-powered entity resolution pipelines for financial crime detection. Built dynamic Airflow DAG generators, Spark ETL frameworks, and self-service batch ops platforms across GCP and on-premise. 97% in Quantexa Academy; 480+ tickets, 380+ PRs.
Apache Spark Airflow Python Scala GCP Elasticsearch
Quantum Physics & Computing
MSci dissertation on integrable quantum spin chains (Heisenberg model) — a direct foundation for quantum information processing and quantum computing. PhD proved supersymmetry enhancement theorems for black hole horizons across type IIA, massive IIA, D=5, D=6 supergravity. Developed py_integrability_sugra. STFC Scholar; 5 publications.
Quantum Spin Chains Supergravity String Theory Lie Algebras Cadabra / Python
Data Science & ML / AI
At ONS: led the least-cost grocery index project, built PriceIndexCalc (PyPI), achieved 100× speed-up with Pandas UDFs via Apache Arrow, and founded the ONS Data Science Network. Freelance ML: classified household appliance usage from power consumption time series.
TensorFlow / PyTorch Scikit-learn PySpark R Tableau / Power BI

Selected Work

Featured Projects

A curated selection — view all projects →

Data Engineering

PriceIndexCalc

Open-source Python package for computing bilateral and multilateral price indices. Used by the Office for National Statistics to track least-cost grocery items at scale.

Python Pandas PyPI GitHub
Physics & Maths

py_integrability_sugra

Symbolic verification engine for Killing Spinor Equation integrability in supergravity theories. Covers D=4–11 with a unified 9-step pipeline driven by a JSON theory schema.

Python Cadabra2 Supergravity GitHub
PhD Research

Black Hole Horizons

Proved dynamical supersymmetry enhancement theorems for black hole horizons in type IIA, massive IIA, D=5 and D=6 supergravity — part of the string/M-theory landscape.

String Theory Supergravity 5 Papers Publications

Tools & Technologies

Tech Stack

  Python   Apache Spark   Scala   GCP   Airflow   Elasticsearch   Docker   BigQuery   TensorFlow / PyTorch   Pandas / NumPy   SQL   Git / Jenkins   Scikit-learn / XGBoost   Java   R / Tableau / Power BI   Hadoop / Kubernetes   Azure / Cloudera / AWS   Mathematica / Maple   Cadabra / LaTeX   Arduino / Raspberry Pi

Research

Publications

Full CV
Symmetry enhancement of Killing horizons in D = 6 supergravity
U. Kayani (Sole Author)  ·  ArXiv Preprint, 2019  ·  arXiv:1912.04249
Symmetry enhancement of extremal horizons in D = 5 supergravity
U. Kayani (Sole Author)  ·  Classical and Quantum Gravity, 2018  ·  10.1088/1361-6382/aac30c
Dynamical symmetry enhancement near massive IIA horizons
J. Gutowski, U. Gran, G. Papadopoulos, U. Kayani  ·  Classical and Quantum Gravity, 2015  ·  10.1088/0264-9381/32/23/235004
Dynamical symmetry enhancement near IIA horizons
J. Gutowski, U. Gran, G. Papadopoulos, U. Kayani  ·  Journal of High Energy Physics, 2015  ·  JHEP06(2015)139
Dynamical Supersymmetry Enhancement of Black Hole Horizons (PhD Thesis)
U. Kayani (Sole Author)  ·  King's College London, 2019  ·  arXiv:1910.01080