## About A highly motivated researcher and engineer specializing in Artificial Intelligence (AI) and signal processing, with industrial experience in the electronics and robotics industries. Currently completing a PhD focused on the development of novel video processing techniques using neural networks and AI. Has developed state-of-the-art neural network activation functions, data augmentation techniques, and regularization methods for use in image and video processing. ## Technical Skills ### Neural Networks and AI - Development and testing of novel neural network architectures - Development of novel data augmentation and regularization techniques - Expertise in unsupervised and self-supervised training paradigms - Extensive experience with PyTorch and TensorFlow - Familiarity with Explainable AI (XAI) techniques for model interpretability - Experience handling large-scale datasets ### Signal and Image Processing - Design and manufacture of analog signal processing circuits - Use of classical signal processing techniques (e.g., PCA, DFT, wavelets, Kalman filters) - Feature extraction with classical and ML-based methods - Cross-modal signal analysis, including image, audio, and accelerometer data ### Programming and Tools - Experienced with Python and C++ for AI model development and deployment - Proficient with Linux operating systems - Experience using MATLAB and Simulink for signal modeling, simulation, and algorithm validation - Expertise with containerized environments (e.g., Docker, Conda, Venv) - Proficiency in version control systems (e.g., Git, Bitbucket) for collaborative projects ### Research Communication - Author of technical reports and research papers - Experience presenting research outcomes at conferences, seminars, and funder meetings - Skilled in collaborative writing and editing using tools like Overleaf and LaTeX ### Collaboration and Project Management - Experience engaging with interdisciplinary teams and stakeholders - Experience leading sub-projects within larger initiatives - Proficient in using project management software to track milestones and deliverables ## Research Experience ### PhD Student **University of Strathclyde** • 2022 -- Present - Designing and implementing novel neural network activation functions, augmentation, and regularization techniques - Analyzing video data to interpret animal behavior using advanced AI techniques - Developing feature extraction pipelines and training custom neural networks - Submitting findings to peer-reviewed journals and presenting at international conferences ## Work Experience ### Robotics Engineer **PS Autogrinding** • 2022 - Integrated AI-driven machine vision for part tracking and object identification - Programmed industrial robots and PLCs to automate processes in the metalworking industry - Designed and implemented signal processing solutions for system optimization - Physically assembled robotic control panels and electrical power cabinets. ### Electronics Engineer **GM Instruments** • 2021 -- 2022 - Designed and manufactured audiometers, acoustic rhinometers, and other signal processing medical devices using analog and digital electronics - Designed and manufactured PCBs using Eagle CAD software - Conducted failure analysis and component-level debugging with advanced diagnostic tools ### Electronics Repair Technician **Self-Employed** • 2018 -- 2021 - Performed component-level repair of a wide range of consumer electronics (TVs, phones, etc.) - Designed automated testing jigs to enhance diagnostic accuracy and efficiency - Managed client interactions, stakeholder relations, and operational logistics independently ## Education **Ongoing PhD Studentship in Artificial Intelligence** *University of Strathclyde* • 2022 -- Present **MEng Electrical and Electronic Engineering** *Glasgow Caledonian University* • 2020 -- 2021 **BEng (Hons) Electrical and Electronic Engineering -- First Class** Glasgow Caledonian University* • 2017 -- 2021