Edinburgh, Scotland, United Kingdom
Ambitious and initiative-taking Electrical and Electronic Engineering student with strong academic record and research experience. Excellent attention to detail and problem-solving skills gained through research internships and various university projects.
· Delivered electronics work across the full lifecycle: requirements interpretation → design calculations → SPICE verification → Altium schematic capture + 4-layer PCB layout → prototype build support → bring-up/test → debug/rework → documentation and handover. · Designed and validated a PWM MOSFET-based power converter for a capacitor-bank charging evaluation system (46–50 V input to 90 V output) supporting controlled laser diode operation; implemented current/voltage sensing and protection-aware design choices. · Implemented robust PCB design with attention to layout constraints (high-current paths, decoupling placement, noise-sensitive routing for sensing nodes, package/footprint constraints, and manufacturability). · Performed structured bring-up and board-level verification using waveform evidence; isolated faults, implemented board modifications/rework, and confirmed corrective actions with repeatable tests. · Produced and maintained technical documentation and test procedures to support design reviews, manufacturing collaboration, and knowledge transfer.
-> Conducted in-depth study of machine learning algorithms such as categorical classification methods (logistics regression, decision tree, random forest, AdaBoost and neural networks) and time series methods (2-D Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Long Short- Term Memory Neural Network (LSTM)) to classify the abnormal behaviour in photovoltaic array systems. -> Successfully implemented, evaluated performance of and optimized machine learning models using data collected through solar power system simulations.
- Part of a small team to build a realistic miniature replica of a photovoltaic (PV) array setup capable of emulating various DC faults. - Conducted study on the operation of PV cell, module, and array as well as the common types of DC faults that occur in a PV array. - Produced and recorded the IV characteristics of a miniature PV array replica using a potentiometer. - Compiled and presented a comprehensive literature review on recent PV system fault detection and diagnosis methods. - Awarded the Best Poster Presentation Award for the paper entitled “A Study of the Electrical Characteristics of Various DC Faults in Solar Photovoltaic Array Utilising A Miniature System Replica”, at the 2nd Science, Technology and Social Sciences Symposium 2022 (STSS2022) by Asia Metropolitan University Johor Bahru, Malaysia.