I am a Software Engineer and Machine Learning Engineer, currently working in Software Lifecycle Management. I have previously worked in Computer Vision with a focus on Adversarial Machine Learning. I have two completed BSc. degrees, one in Physics with Astrophysics at the University of Bristol and another in Data Science and Knowledge Engineering at Maastricht University. I am currently undergoing postgraduate studies in Artificial Intelligence at Maastricht University.
Worked on a big data analytics platform. Developed solution for data anonymization and regression testing. Participated in Scrum and helped manage Azure setup.
Oct 2022 - PresentWork focused primarily on machine learning / computer vision (automotive) solutions (including image classification, semantic/instance segmentation and object detection). I developed XAI solution for Computer Vision models, developed and integrated models built in PyTorch, Tensorflow and Keras, with ONNX model format support and different levels of model access for adversarial solutions. I researched and implemented adversarial machine learning algorithms and metrics with high-performance GPU and parallelization constraints across different data modalities and models. I aided with the design with adversarial machine learning products and projects. I prepared and submitted conference materials, stakeholder presentations and requirements analyses. I assisted with the technical hiring process for relevant vacancies and internships, and organised student internship projects.
Jan 2022 - Sep 2022I researched, developed and integrated solutions at the intersection of Deep Computer Vision and Cybersecurity, with a focus on image processing, mathematical optimization and hyperparameter optimization techniques. I implemented solutions over different data modalities and Machine Learning frameworks with higher performance GPU and parallelization constraints. I presented key findings to stakeholders.
Jul 2021 - Dec 2021I organized practical sessions for students of Data Structures & Algorithms, Mathematical Modelling, Human-Computer Interaction & Affective Computing and Logic courses. I helped grade homework submissions, answer questions and generally aided Bachelor students in understanding the provided material.
Feb 2021 - Jul 2021I represented the collective interests of all students of the Artificial Intelligence masters programme and helped organize and restructure parts of the degree programme to match university accreditation criteria.
Oct 2020 - Jul 2021As part of MaRBLe 2.0, worked on assistive computer vision technologies for children and the elderly, with a strong focus on deep learning techniques, ranging from object detection, segmentation and classification in high performance real-time scenarios, to object tracking, face recognition, pose estimation and activity recognition.
Sep 2017 - Aug 2019Provided various freelance and consultation services in the fields of robotics/embedded systems, computer vision, reinforcement learning and data analysis / statistics, usually in the form of small-scale end-to-end projects. Worked primarily in C/C++/SQL (with Arduino and postgreSQL specifically), with some smaller projects in Python, C#, Tableau and UIPath.
Sep 2016 - Dec 2019I campaigned and was elected as the treasurer of the University of Bristol Students’ Union Board Gaming and Roleplaying Society (Gamesoc) in the 2014-2015 academic year, where I invested most of my free time to help increase the membership and provide an enjoyable and worthwhile experience to all of our members, whilst simultaneously keeping and expanding inventory of board games based on feedback of active members. I kept up to date with common trends and advised committee in regards to common market / industry trends. I solicited and acted upon member feedback to increase the overall quality of the services provided by the society.
Apr 2014 - Apr 2015Since September 2020, I am undergoing my graduate studies in Artificial Intelligence at Maastricht University, with the hope to further develop my passion for Machine Learning. So far, I have focused on courses related to Computer Vision, Natural Language Processing, Deep Learning and Robotics, with some additional courses on Search AI and Multi-agent Systems. I have consistently undertaken leadership roles in the two student projects mandatory in this degree, associated with Game Search AI and Robotic Manipulation via Reinforcement Learning in ROS.
Sep 2020 - PresentFollowing my first degree, I decided to go and specialize in Data Science for scientific purposes. The degree offered by Maastricht University was the most attractive to me and I had high expectations of it, but even then it surpassed my expectations. All courses were consistently high quality and enjoyable to study, which led me to apply to the Honours Programme offered at the University. This involved replacing the standard student projects offered in each semester with a year-long, research-style excellence programme, the Maastricht Research Based Learning Programme, or MaRBLe 2.0, meant to act as a way to develop professional research experience. As part of MaRBLe 2.0, I further improved my research skills and gained more insight in regards to both individual and group research and work. This is where I learned and began to love Computer Vision to the point where I decided to spend another semester working alone on a continuation of the group project completed in the year prior. Alongside the MaRBLe 2.0 programme, I was also enrolled in the Honours+ programme at Maastricht. This was a multi-disciplinary, year-long project conducted by EDLAB with the goal of improving communication between faculties by having the best students work in small groups on small, but important projects. I was involved in a study of the perception of student happiness at Maastricht, creating dashboard and analyzing survey results in order to present and suggest a course of action for the university to take to improve the quality of life for the students.
Sep 2016 - Jul 2020In the three years I spent at the University of Bristol, I learned all the research, mathematical and analytical skills I employ today. I truly treasure all of the people I met and everything I have experienced there.
Oct 2013 - Jul 2016
