Curriculum Vitae

Abridged Version

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Education

MEng Biomedical Engineering

Oct 2022 – June 2026 (Expected)

Mathematics, Further Mathematics, Physics, EPQ, Chemistry

2020 – 2022

Extended Project Qualification dissertation: 'Autonomous Surgical Robotics: An Overview of the Challenges and Future Areas of Development'

Incoming Applied Machine Learning Research Intern

July 2025 – Aug 2025

Incoming research intern at ABIC, focusing on image processing and ML for automated imaging applications.

Software Engineering Intern

July 2024 – Sept 2024

Embedded Systems Engineering Intern

Aug 2023 – Sept 2023

Startup Accelerator Program

Nov 2022 – Apr 2023

Project Lead

Jan 2025 - Present

Led development of an innovative smart compression device for managing leg swelling (oedema).
Integrated stretch sensors and pneumatic compression system with ESP32 microcontroller.
Developed Android app with user authentication and biometric data tracking using Kotlin and Firestore.
Placed first in the HCARD Imperial Module competition.

Research Lead

Oct 2024 – Present

Modelling fluid dynamics in stem cells and designing microfluidic chambers (MATLAB).
Academic research into ML tools for cell imaging. Main writer of the report, hoping to publish further findings. Returning to the lab in June.

Project Co-Lead

Oct 2023 – June 2024

Designed hardware circuits and firmware (C on Raspberry Pico) for an arthritis rehabilitation device.

Programming Languages: C++ (strong), Python (strong), Kotlin (intermediate), C (intermediate), MATLAB (intermediate)

Frameworks/Libraries: PyTorch, Firebase, Android SDK, Arduino/ESP32

Hardware: Microcontrollers (Raspberry Pico, ESP32), Embedded Systems, Circuit Design

Specialised Skills: Machine Learning, Computer Vision, Embedded Systems, Medical Device Development, Data Analysis