Staff Engineer & Team Lead - Semantic Fusion at Oxa
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD in Computational Neuroscience, with masters degrees in Complexity science and Aeronautical engineering. Currently a Machine Learning and Robotic Perception person. Contact me if I can help you in any way.
University of Southampton
Master's Degree, Aerospace, Aeronautical and Astronautical/Space Engineering
January 1, 2009 – January 1, 2013
Oxa
Lead Software Engineer - Laser and Radar Perception
January 1, 2021 – Present
Oxa
Machine Learning Engineer
May 1, 2018 – Present
Cookpad Ltd
Machine Learning Researcher
October 1, 2017 – May 1, 2018
Greater Bristol Area, United Kingdom
London's AI Futurists
Co Organizer
June 1, 2015 – January 1, 2018
University of Southampton
PhD, Computational Neuroscience
September 1, 2013 – September 1, 2017
Autonomous Quadrotor
March 1, 2015 – Present
Building a quadrotor platform capable of rapid localisation, exploration and mapping of an indoor environment.
Biomimetic Robotics
January 1, 2015 – Present
Building biologically-inspired machine learning algorithms which can synthesise control schemes for autonomous robots in rapidly changing, uncertain and dynamic environments
Autonomous Car
May 1, 2014 – Present
Modified a toy RC car to autonomously navigate an obstacle-laden environment. All sensing and processing was done by an Android smartphone attached to the car.
Bell nozzle design
November 1, 2012 – Present
Wrote a small Python package to calculate optimal Rocket 'Laval nozzle' designs for various supersonic flow regimes.
Miniature Ion Thruster
October 1, 2012 – June 1, 2013
Helped with the design, simulation and construction of a miniature ring-cusp Gridded Ion Thruster capable of propelling a small cubesat to the Moon. Built a custom simulation environment using finite-element methods to analyse ion impingement, flow and output thrust in various designs.
Finite Difference Methods for Computational Aerodynamics
October 1, 2011 – June 1, 2012
Implemented and analysed a variety of large parallel Finite Difference stencils for Computational aerodynamics / aeroacoustic applications.
Robotics: Aerial Robotics
Coursera
June 24, 2026 – Present
Deep Learning Udacity
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background in academic research, personal projects in advanced robotics and aerospace, and experience in organizing technical meetups indicates a strong drive for innovation, continuous learning, and community engagement. While the target role is 'Backend Engineer', their experience is heavily skewed towards ML/Robotics. This might indicate a strong cultural fit for an innovative, research-driven environment, but a potential mismatch if the backend role is purely focused on traditional enterprise systems without ML integration.
Soft Skills & Operational Fit
The candidate's experience as a Lead Software Engineer and Co-Organizer suggests strong leadership, collaboration, and communication skills. Their academic background and project diversity indicate a proactive, problem-solving attitude and intellectual curiosity. The focus on autonomous systems aligns well with roles requiring innovation and complex system integration.