London, United Kingdom
Road-tested judgement.
Technology-built insight.
TfL-licensed London private hire driver with over 10 years of experience and more than 15,400 completed Uber trips, supported by a BSc in Computer Science, a substantial physical-security background and hands-on Flutter/Android development experience. Since February 2023, professionally operating a fully electric Tesla Model 3 for passenger work, with practical experience of charging, range planning and EV vehicle-status monitoring. Separately experienced in supervised use of Tesla Autopilot and cruise control on personal motorway and long-distance journeys. Now targeting autonomous-vehicle safety, test operations, fleet and data-collection roles.
Open to opportunities
AV safety • EV and test operations • Fleet support • Data collection
Professional profile
A practical bridge between road safety, security and technology
My career combines professional driving, physical security, customer service and technical problem-solving. These roles have strengthened the qualities autonomous-mobility teams need: calm observation, disciplined safety decisions, reliable reporting, respect for procedure and the ability to learn complex systems.
Selected capabilities
Relevant to autonomous mobility
Safe urban driving
Professional passenger transport across London with continuous attention to cyclists, pedestrians, restrictions and changing traffic conditions.
Security observation
Experience in retail, public venues and corporate offices, supporting access control, situational awareness and incident reporting.
Testing and reporting
Structured debugging, repeatable testing, event logs and clear explanations of unexpected software or operational behaviour.
Technical learning
Computer Science and cybersecurity study with current hands-on work in Flutter, Dart, Android, Python concepts and data-led decision logic.
EV and driver-assistance operation
Professional Tesla Model 3 use since February 2023, including charging, range planning and vehicle-status monitoring, plus supervised personal use of Autopilot and cruise control with attention to system limitations and intervention readiness.
Current technical project
London Driver Intelligence
Working Android prototype • Independent project in continued development
A driver decision-support and postcode-learning application created from real private hire experience. It helps a driver assess short-lived trip offers against personal earnings, time, distance and congestion preferences.
- Configurable hourly-rate and mileage rules
- Take, consider, decline and manual-review guidance
- Postcode-based congestion warnings and lookup
- London postcode memory cards for driver learning
Independent personal project. It does not accept trips, control the Uber app or replace driver judgement. It is not affiliated with or approved by Uber or Transport for London.
CAPTURETime-limited offer data
VALIDATEFare, time, distance and postcode
ASSESSDriver preferences and safety rules
REPORTClear spoken and visual guidance
Technology in real use
Projects built around real communities
London Driver Intelligence
Working Flutter/Android prototype for trip-offer decisions, congestion guidance, postcode lookup and driver learning.
View dedicated project page →GOC Show
A church-specific customisation and deployment of the open-source FreeShow platform, configured for service slides, local Bible resources and projector output.
View project details →Try the Bible
A web-based Bible memorisation project using singing, flashcards and guided learning to help people remember Scripture.
View project details →Previous digital work
Selected web projects
Next opportunity