Software and embedded firmware developer for various novel applications and devices. Operating in a pre-product development R&D team, my work focuses on researching, validating, developing and testing new application-focused features for upcoming products.

Gained experience with embedded development engineering, particularly with C/C++ and Arduino environments. Further improved scientific computing and application development skills in Matlab and Python. Exposure to embedded development-focused DevOps.

Graduated with minor corrections. Research extensively featured in several journals and conferences.

Thesis topic: Optimisation of grid connected energy storage based on EV battery fleet vehicle operation.

Awarded full-time EPSRC tuition fee and maintenance fee scholarship. Work includes data analysis and software model development through MATLAB/Simulink and Python.

Assisting the online course creation process and helped develop the services offered by the company. Advising the founding team on multiple soft and technical matters and gave feedback on course material, services development and teaching methodology.

Gained experience with web development software engineering frameworks and SWE industry practices, as well as industry-standard data structures and algorithms.

Activities and Societies: Student Member of the IET UK, Student Member of the IEEE.

Courses include knowledge of electrical and electronic circuits, communication devices, control systems, digital signal processing, computer architectures and mathematics (calculus and linear algebra). Awarded EEE excellence scholarship.

Final year project topic - algorithm conditioning and overall optimisation of quasi steady-state and nonlinear programming MATLAB simulation scripts for motorsport hybrid powertrain applications. Performed in collaboration with McLaren Applied Ltd.

Awarded EEE Excellence Scholarship.

Main contributor in a R&D project that concerns the design and build a highly versatile, ultrafast switching Gallium Nitride (GaN) DCDC isolated prototype converter primarily aimed towards automotive and motorsports applications (DCU-200).

The system aims to be significantly smaller than existing Si or SiC alternatives and improve energy transfer performance by minimising system losses in hybrid powertrains similar to the ones used in McLaren P1 or MCL32 (Honda ICE) / MCL33 (Renault ICE) F1 cars.

Work performed in a highly demanding, dynamic and competitive environment. Pioneered the introduction of GaN technology in MAT Power Electronics hardware. Proposed design featured at CENEX LCV Expo 2018.