Senior Software Developer @ University of Cambridge

Analytical/computational modelling and analysis of nonlinear systems using linear/nonlinear spectral decomposition; suppression of ad-hoc modelled stochasticity/turbulence in plasma; machine learning driven correlation studies of complex data sets in tokamak plasmas.

Specialisation in QFT, experimental metamaterials, and elasticity theory

I currently work in the UIS DevOps group at the University of Cambridge, who fulfill central university IT development and IT operations.
I am an independent contributor working on a portfolio of products and services including the website for undergraduate admissions, authorization and login, timetabling, and cookie compliance.
I work as a software generalist, completing both full-stack engineering across multiple teams as well as infrastructure and deployment in more of an SRE capacity. I give rich code review, and balance speed against priority in an organisation which has heavy engineering requirements and lean resourcing.
The UIS DevOps portfolio is wide and heterogenous, requiring me to quickly learn new codebases, pave paths to quick and effective solutions, while championing for code improvement and good engineering practices. I follow TDD to produce high quality code fast.

Leading and managing a team of 4; primary point of contact for all developers; customer relations; all previous responsibilities as Solution Architect.
Led the creation of 3 products from scratch. Led customer adoption of 2 of those products, and currently leading piloting for the other 1.

Designing new software solutions; leading and managing a team of 3; all previous responsibilities as Software Engineer.

Packaging an application built with Electron, Node.js, and Python; providing general full-stack support; writing internal tooling; unit testing and deployment.

Writing documentation and examples for MATLAB Parallel Computing Toolbox.

Implementation and optimization of automated machine learning, using stochastic control methods with time constraints.

Full stack development of in-house data analytics. Solution in a Python-based stack.

Experimental metamaterials; fabrication of a surface wave telescope using spoof plasmonic Luneburg lenses.

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