I created this site as a platform to showcase my work. I am always looking to forward my career, so if you like what you see don't hesitate to get in touch!
Hi, I'm Lewis, a 24 year old technology enthusiast. I hold a Master's degree and am currently pursuing a PhD at the University of Edinburgh. I'm part of the CDT in Dependable and Deployable AI for Robotics. I'm particularly interested in SLAM and building dependable AI systems that can be reliably deployed in real-world industrial environments. When I'm not researching, I love staying active and exploring new music.

Worked closely with a designer to create an updated version of a case management system, whilst also contributing to AI app features. Created automated Figma-to-JavaScript workflows to streamline the design-to-development process. Gained valuable insights into business operations.

During my extended 6 month internship with NXP, I worked across multiple groups in the embedded secure element division of the company. The employment gave me the chance to appreciate and understand SWE at scale, working with multi-national groups. Further, the internship introduced me to standardisation bodies and cryptography (including PQC), whilst giving me the chance to improve my embedded programming skills.

I spent time with a local design company to show how I would use newage AI technologies to automate and speedup processes. I created a set of workflows using locally running open source models, as security and privacy were of upmost importance. Finally, I demonstrated these workflows by creating video, text and image assets for a suggested music festival.

Following my year abroad, I worked with a local consultancy, where I; researched, designed, developed and deployed a LLM based stateful react application capable of complex textual generations, as a sole developer. The generations enabled the company to save hours writing proposal documents.

Awarded a place on the UKRI-funded CDT in Dependable and Deployable AI for Robotics (D2AIR), with a highly competitive cohort of ~20 researchers. Currently in the first year of doctoral training and scoping thesis direction, with interests centred on SLAM for real-world robotic and industrial systems.

I am currently studying a master's degree in Computer and Electronic Systems, between the engineering and computer science departments at the University of Strathclyde . My dedication, effort and commitment to the course has not gone unnoticed, I have achieved a distinction grading in my three previous years. Furthermore, I was placed on the Dean's List for meritorious performance, a step higher than distinction awarded to students who precede expectations.

I was offered the opportunity to study abroad at San Diego State University, California, because of my high academic achievements. I chose to major in Computer Science whilst abroad, as I wanted to expand my knowledge of the subject and gain a new "American" perspective on the field of software engineering. I also had the chance to take a more advanced computer science courses, such as; Computer Vision, Machine Learning and Cyber Security.

I was determined enough to gain 5 A grade SQA Highers (those being Mathematics, English, Graphics, Computing & Physics), allowing me to leave a year early in fifth year. Furthermore, I was awarded certification that I achieved the highest SQA Higher grades for both Computing and Graphics within the school that year.
I tend to take leadership roles in academia and elsewhere, due to my natural maturity. At University, I also take the leader role instinctively due to my more encompassing course and my ability to communicate between concepts.
Academia has also allowed me to work with people of different backgrounds and needs, through time I learned how to cooperate proficiently. This is an invaluable skill as it allows me to effectively work with a diverse set of characters.
I have always had an artistic flair and enjoy playing with design. Whilst my projects often achieve complex technicalities, I assure they also achieve a degree of visual satisfaction.



