Thomas B.

🚀 I am a seasoned Machine Learning Engineer specializing in transforming business challenges into data-driven solutions. With a robust background in data science and artificial intelligence, I help organizations leverage predictive analytics to drive strategic decisions and achieve significant operational improvements.

At Cardiologs, later acquired by Philips, my role as a Machine Learning Engineer involved developing groundbreaking machine learning algorithms for cardiac diagnostics. My work, which included enhancing pause detection, improving neural networks for beat detection, and creating an advanced beat clustering algorithm, was instrumental in driving the technology from concept to production, compliant with regulatory standards. This experience now enriches my product role, equipping me with a unique blend of technical expertise, regulatory insight, and a deep understanding of transforming innovations into market-ready, impactful products.

Leading a talented team at Spinergie, I drove innovation in the maritime industry by developing data and analytics solutions that doubled revenue and enhanced user experience for Smart Fleet Management. Key Achievements:

- 2x Revenue Growth: Spearheaded initiatives that doubled ARR.

- User Activation: Boosted Tier 1 Enterprise client engagement through app simplifications.

- New Product Launch: Introduced a Wind Installation tracking product, securing major Tier 1 deals.