Robotics & AI Engineer • MSc Robotics and Artificial Intelligence (Distinction)
Bridging physical systems, autonomous control, and modern machine learning. MSc graduate from Queen Mary University of London with international experience across the UK, Zambia, and India.
As a Robotics and Artificial Intelligence MSc graduate from Queen Mary University of London (awarded with Distinction), with international experience across India, Zambia, and the UK, I bring a broad perspective shaped by diverse cultural and technical environments. Spending 15 years in Zambia taught me the value of practical, resourceful solutions, strengthening my passion for engineering with real-world impact.
My core technical expertise spans automation, robotics, and machine learning, supported by direct experience in industrial PLC programming (Siemens, CODESYS) and developing a novel photoelastic tactile sensor for an industrial robotic palm in collaboration with Shadow Robotics.
MSc Robotics and Artificial Intelligence — Graduated with Distinction (Sep 2025 - Sep 2026)
Key Modules: Cognitive Robotics, Machine Learning & AI, Medical Robotics & Surgical Techniques, Deep Learning for Image Analysis.
Dissertation: Photoelastic tactile sensor for a robotic palm (collaboration with Shadow Robotics).
BEng Robotics, Mechatronics & Control Engineering (Hons) (Oct 2021 - Jun 2024)
Key Modules: State Space Control, Manufacturing Automation, Circuit Design, Interfacing Mechatronics Systems.
Projects: Intra-Campus Monorail (WSP), Gymnastics Stamp-Bug Rover, Sagnac Optical Interferometer.
Soft Robotics & AI • In collaboration with Shadow Robotics
Designed and built a compact photoelastic palm sensor addressing space constraints through folded optics. Automated indentation and synchronised data collection to evaluate four deep learning architectures, achieving normal-force MAE of 0.244 N and sub-millimetre localisation.
Keywords: Soft Robotics, Tactile Sensing, Computer Vision, Deep Learning, PyTorch
Deep Learning & Healthcare
Implemented and evaluated supervised U-Net and Reptile meta-learning architectures for MRI segmentation with limited labelled data, applying compound Binary Cross-Entropy and Dice loss functions.
Keywords: Medical Imaging, U-Net, Meta-Learning, PyTorch, Few-Shot
Space Robotics & Avionics • RAL Space Finals
Served as Vice Lead and Electrical Team Lead. Architected full power distribution bus, Raspberry Pi telemetry, and coordinated hardware integration for a planetary exploration rover.
Keywords: Raspberry Pi, Power Electronics, Electrical Debugging, System Integration
Space & Biomechatronics • Airbus Competition Finalist
Led engineering team to finals of an Airbus design competition with a modular mobility concept for astronaut augmentation and prosthetic support in low-gravity environments.
Keywords: Biomechatronics, Variable-Impedance Knee, Space Robotics, Feasibility Analysis
Computer Vision & Robotics Perception
Fused YOLOv8 real-time object detection with custom KNN classifier trained on 865 named color shades, processing live webcam streams with OpenCV.
Keywords: OpenCV, YOLOv8, KNN, Video Stream Processing, Python
Optical Instrumentation & Sensors
Constructed a fibre-optic Sagnac interferometer to investigate roll-angle sensing. Developed numerical integration in MATLAB to derive angular displacement from optical velocity measurements.
Keywords: Fiber Optics, Interferometry, MATLAB, Digital Signal Processing
Mechatronics & Control Systems
Designed responsive mechanical chassis in Siemens NX and implemented control algorithms synchronizing motor actuation with interactive LED matrices.
Keywords: Siemens NX, Closed-loop Actuation, Mechatronics, Embedded Controls
Sustainable Infrastructure & CAD • WSP Brief
Led conceptual engineering for an energy-efficient campus monorail with accessible cabins and sustainable power distribution for engineering consultancy WSP.
Keywords: CAD, Transportation Infrastructure, Sustainable Engineering, Feasibility
NLP Automation & Web Scraping
Built a Streamlit application using spaCy NLP to parse engineering CVs and query real-time SerpApi listings for matching UK engineering vacancies.
Keywords: Python, spaCy, NLP, Streamlit, SerpApi