About Me
A mechanical engineer with a passion for programming, combining the two through simulation, modelling, and machine-learning-enabled tools. With 5+ years within fast-paced startups, my work has spanned vehicle dynamics, virtual sensors, and digital twins, in an attempt to make code replicate reality!
Python MATLAB Simulink TensorFlow
Projects
Experience
Virtual Tools & Methods Engineer
ClearMotion
- Development and deployment of bespoke simulation and analysis tools to support product development using multiple technologies
- Lead engineer on Virtual Sensor project to replace physical component with a Machine Learning model
- Creation of bespoke vehicle models to generate actionable simulation insight for high-performance automotive applications
Modelling and Simulation Engineer
Rivian
- Top Talent Award recipient for outstanding performance in 2023
- Developed and correlated vehicle digital twins using mathematical modelling to support attribute development
- Implemented automation and optimisation algorithms as part of Vehicle Simulation Interface (VSI)
- Supported Driver-in-the-Loop activities through on-site experiment design, live coding, and model integration
Application Engineer
IPG Automotive
- Helped OEMs develop vehicle models and strategies for virtual testing as part of Project ViVID
- Worked with various automotive technologies including ADAS, EVs, DiL and HiL systems
- Developed coding skills in a professional environment through implementing clean code, collaboration, and customer interactions
Education
Master of Mechanical Engineering
Queen's University Belfast
- Graduated with First Class Honours, Degree+, and Millennium Volunteers Award
- Global Undergraduate Awards & IMechE Outstanding Project Award received for final year project
- Suspension Team Leader & Assistant Performance Team Leader for Queen's Formula Racing team
Postgraduate Certificate in Artificial Intelligence
University of Ulster
- Graduated with Distinction
- Scholarship received to further interest of Machine Learning developed during Masters degree
- 4 modules studied at Masters level, including: Big Data, Data Mining, Machine Learning, and Statistics