Welcome Ah, a traveller from

Education

1. Imperial College London PhD Student 2025 – present
   • Using AI-enhanced numerical modelling to model the mechanical behaviour of skin, for early cancer detection and wound healing applications.

   ultrasound

   tissue model

   AI field

2. University of Bristol MEng Mechanical Engineering, with a Year in Industry 2020 – 2025

   Bristol, UK · First Class Honours

   • Specialisations: data-driven physical modelling, multivariable and non-linear control, ultrasound, finite element analysis, sustainability.
   • Bachelor’s dissertation: developed a novel technique for generating ultrasonic testing datasets to train machine learning models to predict porosity in composite materials.
   • Master’s dissertation: modelled the compressive behaviour of syntactic foam using machine learning (RF, SVR, GPR, ANN), with robust validation and extensive evaluation.

   ultrasound data

   material model

   validation

Experience

1. Riven Industries Ltd Mechanical Engineer Sep – Oct 2025

   London, UK

   • Contributed to the Direct Air Capture team, responsible for assembly of the carbonation module.
   • Hands-on shop-floor experience with power tools for sheet-metal modification and assembly.
   • Designed and manufactured custom components as part of the final system.

   assembly

   fabrication

   direct air capture

2. Rolls-Royce plc Engineering & Technology Intern 2022 – 2023

   Derby, UK · Central Manufacturing

   • Developed a commercialisation strategy and IP framework for a novel manufacturing technology, coordinating technical, non-technical and external teams.
   • Developed a group-wide manufacturing sustainability capability, conducted Lifecycle Assessment (LCA) studies and presented findings to global communities.

   manufacturing

   sustainability

   lifecycle analysis

Skills

1. Data-driven physical modelling primary
   • Surrogate and hybrid models over FEA and experimental data; ultrasonic dataset generation; RF, SVR, GPR and neural approaches with validation that holds up.
2. Robotics & autonomy ROS 2
   • Autonomous system architecture, planning and control, and hardware integration — taken from nothing to a car that drove itself round a competition track.
3. Design & manufacturing hands-on
   • Finite element analysis through to shop-floor fabrication: designing custom components and building them.
4. Leadership & project management team of many
   • Founding and running a technical team: recruitment, finance, DevOps, marketing and strategy, alongside the engineering.

Programming

References

Academic references available on request.