At Fruitful AI, we believe our people are the true engine behind every innovation — and today, we’re thrilled to introduce our newest team member, Andrea! With a strong foundation in biomedical engineering and a career spent bringing vision systems to life on manufacturing lines, Andrea is joining us with energy, experience, and a drive to push the boundaries of computer vision.

We sat down with Andrea for a quick chat about his journey, what excites him most about the field, and why endurance training has more to do with AI than you might think.

‍Can you share a bit about your journey into computer vision and what sparked your interest in this field?

‍My journey started during my studies in biomedical engineering, where I spent a lot of time working with image-based data. I was fascinated by how much information could be extracted from visual data and how it could be used to understand complex systems. What really hooked me, though, was the intersection of artificial intelligence and visual understanding — teaching machines to interpret the world like humans felt incredibly powerful.

Later, as an Application Engineer, I worked directly with cameras, optics, and machine vision systems for quality control in manufacturing. Seeing the real-world impact of computer vision made me fall in love with the field even more.

‍What has been one of your most exciting or challenging projects so far, and why did it stand out to you?

‍One highlight was designing a vision system for inspecting reflective materials on a production line. It was technically demanding — we had to integrate specialized optics, lighting, and even polarized cameras to detect tiny surface defects.

The project also taught me a lot about the strengths and limits of traditional rule-based vision. Classical methods worked up to a point, but struggled with variability. That’s when I saw the true adaptability and robustness AI-based approaches could bring.

What attracted you to join the Fruitful AI team, and what are you most looking forward to contributing?

‍From the first conversations, I felt the team’s energy and shared sense of purpose. Everyone here is motivated, aligned, and passionate about pushing boundaries.

I’m excited to bring my technical background — from academic research to hands-on engineering — while also diving into new challenges. Most of all, I’m looking forward to growing alongside this incredible team and helping drive innovation.

How do you approach solving complex computer vision challenges?

‍I start by zooming out: what’s the end goal, and what are the constraints? Then I break the problem into clear components — acquisition, preprocessing, model design, evaluation — and choose the best tools for each stage. I also try to stay flexible. If something doesn’t work, I’m not afraid to pivot and try a new approach.

What advice would you give someone just starting out in computer vision?

‍Build things and stay curious! The best way to learn is by doing, and asking why something works (or doesn’t) will take you deeper into the topic. Also, surround yourself with passionate people who are better than you. Don’t be afraid to ask questions — the people around you can accelerate your growth.

Outside of work, what’s a fun fact about you or a hobby that influences your thinking?

‍I’m passionate about endurance sports — running and training for events like Hyrox. It may seem unrelated, but the discipline and consistency required are the same qualities I bring to technical projects. Plus, training gives me time to disconnect and reflect. Balancing physical activity with technical work keeps me sharp and motivated.

Welcome aboard, Andrea!

We couldn’t be more excited to have Andrea on the team and can’t wait to see the incredible contributions he will make to Fruitful AI. Here’s to pushing the limits of computer vision together! 🚀

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