SimEng

Professional Experience

Software ML Engineer and Data Scientist with an interest in applications of machine learning to computational physics.

Experience as Data Science and Machine Learning Fellow at Faculty and as ML Engineer at the UK Health Security Agency; over 6 years in R&D Engineering with a focus on distributed systems.

Contributor to open-source quantum software, including Qiskit and Amazon Braket.

Programming: Python, Golang, SQL, OpenQASM

Databases: MongoDB, PostgreSQL

Frameworks: PyTorch, PydanticAI, TensorFlow, LangChain, Scikit, NumPy, Pandas

Tools: UV, Git, CI/CD, S3, Kubernetes, Docker, Linux, Helm, Azure, GCP

Academic Background

Studied theoretical and mathematical physics at Imperial College, focusing on quantum field theory, with additional training in computer science and machine learning.

Awarded first-place prizes at HackPrinceton, HackCambridge, and HackHarvard.

Other Interests

Learning Common Lisp and Quantum Error Correction (QEC).

In my spare time, I develop hardware and software tools for athletics performance analysis, with a focus on horizontal jumps, under the guidance of David Clement Johnson, with the aim of supporting the next generation of jumpers in the UK.