Curriculum vitae

Medical soft-robotics company (approx. 35 people) building AI-enabled wearable rehabilitation devices for stroke recovery. Approx. £11.9M raised including a £7.7M Series A. Products FDA-registered and deployed across major US rehabilitation networks.

• Contributed engineering concepts including pressure-waveform-based motion sensing (replacing discrete sensors), undesired-movement detection for spasticity safety and adaptive pneumatic pump configurations, now the technical core of the flagship products.
• Designed and built the firmware safety architecture for Lifehub’s entire pneumatic system: test sequencing logic, failure thresholds, diagnostic outputs and safe-state recovery, now used to validate and service every unit before and after clinical deployment.
• Led the engineering design of the Lifehub production system, building the software and database from scratch for firmware deployment, device tracking, automated in-line testing and clinical-grade traceability, scaling from prototype to over 100 commercial units in active US clinical use.
• Made the technical design decisions for the Bluetooth Low Energy stack, balancing medical-grade reliability, power optimisation and data integrity. Completed Bluetooth development certification to lead the work; the stack runs in every deployed unit.
• Mechatronics engineer on the £435,000 Innovate UK Biomedical Catalyst grant (Dec 2023, ref. 10071274), engineering the machine learning and data-collection architecture for the soft robotic glove.
• Currently engineering the firmware architecture for the next generation of Lifeglov.

CubeSat subsystem provider : structures, power, attitude control, payloads, propulsion.

• Researched and designed control architecture for a 3U CubeSat platform, delivering grant-funded R&D milestones.

Ultra-light eVTOL aircraft startup developing autonomous urban mobility.

• Designed and built two generations of brushless DC motor test rig (ATmega328P, then Raspberry Pi Pico and 4B), enabling systematic propulsion-efficiency measurement and failure-point characterisation.
• Developed scaled drone prototypes on DJI Naza V3 and Pixhawk Cube Orange, and integrated DJI Tello platforms for computer-vision testing.

Freelance consultancy delivering mechanical design, additive manufacturing and robotics solutions for clinical, industrial and consumer clients.

• Engineered the mechanical housing and integration software (ROS, C++, Python) for a portable LiDAR scanning unit, enabling mobile 3D mapping.
• Developed firmware (ATmega328P, C++) and a Bluetooth communication stack for Carbonado Backpacks’ connected motorcycle backpack.

Smart kitchen appliance startup developing connected induction cooking technology, now CookWithSemi.

Government of India nuclear fuel manufacturing facility.

IMechE-accredited programme meeting the academic requirement for Chartered Engineer (CEng) registration.

• Group project, Best Project award: co-architected a PAL TIAGo-based hotel receptionist robot for DoubleTree by Hilton MK and MK 5G, integrating SLAM-based autonomous navigation, computer vision and natural language processing on ROS.
• Modules: Fundamentals of Robotics, Robotics Control, AI and Machine Learning for Robotics, Programming Methods for Robotics, Human-Robot Interaction, Machine Vision for Robotics, Psychology Ethics and Standards.

• Second year project, Best Project in college: CNC pen plotter: designed the mechanical system and developed the firmware to convert digital drawings into physical hard copies.