Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Dieter De Mesmaeker is a highly experienced Lead Machine Learning Engineer and AI professional with a strong background in developing and deploying scalable machine learning solutions. He has a proven track record of leading AI teams, driving innovation, and delivering impactful projects in various domains including computer vision and MLOps. Dieter is also passionate about education and knowledge sharing, evidenced by his contributions as an instructor on platforms like Datacamp, his numerous articles, and his frequent talks at industry conferences. His expertise spans across Python, deep learning, data engineering, and building robust AI systems from conception to production.
Dieter De Mesmaeker's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led and mentored teams of machine learning engineers and data scientists at companies like Robovision and ML6, focusing on delivering cutting-edge AI solutions and fostering a culture of innovation and excellence.
Developed and taught multiple highly-rated courses on Datacamp, including 'Introduction to Machine Learning with scikit-learn' and 'Supervised Learning with scikit-learn', educating tens of thousands of learners worldwide in practical data science and machine learning techniques.
Frequently invited to share his expertise on machine learning, MLOps, and AI strategy at renowned international conferences such as PyData, Data Innovation Summit, and other industry events, contributing to the broader tech community.
Authored numerous insightful articles and blog posts on Medium and other platforms, covering topics like applied AI, machine learning best practices, MLOps, and career development in data science, reaching a wide audience of tech professionals.
Championed the adoption of MLOps principles and responsible AI practices within organizations to ensure the development of fair, transparent, and reliable machine learning systems.
Y Combinator - Year 2024
Vlerick Business School - Year 2012
KU Leuven - Year 2008
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Conveo is an AI copilot designed to automate up to 90% of repetitive tasks within Salesforce. It aims to help sales teams significantly reduce time spent on manual data entry, maintaining CRM hygiene, and other administrative duties, thereby freeing them up to concentrate more on core selling activities and engaging with customers.
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