Leading a top team of engineers, data scientists and cyber analysts creating a flagship product for Darktrace in R&D

Darktrace is the world’s leading AI company for cyber defense. With thousands of customers worldwide, the Enterprise Immune System is relied on to detect and fight back against cyber-attacks in real time. The self-learning AI protects the cloud, SaaS, corporate networks, IoT and industrial systems against cyber-threats and vulnerabilities, from insider threats and ransomware, to stealthy and silent attacks. Darktrace has over 1000 employees and 40 offices worldwide. It is headquartered in San Francisco, and Cambridge, UK.- Lead Engineer on a numberous projects spanning multiple platforms. - From immune system solutions in the cloud, developed in c++ on windows and linux.- To endpoint immune system on MacOS, written in obj-c, c++ & swift.- Data visualisation tools in Java and Javascript.- Exposure to a variety of machine learning principles & algorithms.- Experience in a client facing role, discussing how Darktrace fits into their complex custom network infrastructure and fielding any questions.

- Research engineer at Laing O'Rourke working in optimisation and automation of processes on the factory floor. - Partnered with University of Nottingham to achieve 1st class masters in Smart Manufacturing

-- Manchester Particle Physics Group position at The University of Manchester continuing the work from my masters project.-- Phenomenological study of simulated particle interactions based on Monte Carlo event generator Sherpa-- Investigating potential to use data from the ATLAS experiment at the LHC to measure the 'Forward-Backward Charge Asymmetry of the Z boson'.-- Worked in the Luminosity task force for the ATLAS detector on improving the luminosity measurement in 2012 data using Track and Vertex counting methods.-- Statistical analysis using ROOT in C++ and Python scripts.