Employee perspectives - Kevin Wilson

I'm a Senior Software Engineering Specialist and I'm bringing AI to precision engineering.

From academia to AI engineering

After studying electronics and telecommunications engineering at Maharashtra Institute of Technology's College of Engineering in India, I travelled to the US to complete a master's degree in computer vision and image processing at Rochester Institute of Technology. But in 2017, after losing my mother, I decided to return home. While finalising my thesis, I found an opportunity with Renishaw that aligned with my interests and I've been here ever since.

I joined Renishaw in 2018, at a time when the AI/ML team was just beginning. In fact, I was one of the first members of the division. Over the past seven years, I've helped build the team and played a key role in how we apply AI to real-world manufacturing problems. Our focus is on integrating AI into vision-based measurement applications. For example, we use cameras to capture images of parts and then analyse them using AI algorithms. This is especially useful in additive manufacturing (AM), where we monitor layers for defects and can even intervene in production if needed.

In addition to AM, we support a wide range of vision-based projects that involve defect detection, surface analysis and image-based metrology. My day often starts early, giving me time to meet with teams across different time zones. I also mentor younger engineers at Renishaw, guiding them on best practices for AI model development and software deployment.

One of the most significant milestones in my career at Renishaw was when we delivered our first major AI-based project. The challenge involved measuring a component that couldn't be reached physically - a task that traditional methods couldn't handle. We developed a computer vision solution that solved the problem. That moment was a turning point, as it helped demonstrate the real value of AI, and it brought others across the business on board with our vision.

Looking forward

The world of AI is changing rapidly - and that's what excites me most. We're only scratching the surface of what's possible. At Renishaw, we're exploring new ways to integrate AI into precision engineering and there are so many opportunities in this area. Whether it's improving measurement accuracy, streamlining production or reducing waste, AI will continue to drive transformation and I'm proud to be part of that journey.

Another challenge lies in the nature of AI itself. It's always changing, so keeping up with rapid advancements is crucial. We constantly explore new technologies, from large language models to novel machine learning techniques, even if we don't implement them right away. This forward-thinking mindset helps us stay adaptable and innovative.

Bridging gaps and building trust

Recently, I participated in an outreach programme that connected Renishaw engineers with university students in India. There's often a large gap between what students learn and what the industry demands. This initiative helped bridge that divide, giving students insights into the practical realities of working in engineering today. It's rewarding to support the next generation of talent and to help prepare them for what's ahead.

This programme was particularly meaningful to me because I've seen firsthand how mentorship can influence career paths. I've had supportive managers throughout my time at Renishaw, people who knew when to challenge me and when to give space. I try to do the same for junior team members today.