As a Data Scientist, Machine Learning Engineer, Cloud Developer, Data Engineer, Backend Developer, and Startup Co-founder, I have successfully leveraged AI and cloud technologies to drive innovation and solve real-world challenges across various industries.
Having co-founded and led an AI startup that was later acquired, I bring a unique blend of technical expertise and business insight. My focus lies in developing advanced machine learning models, data-driven solutions, and scalable cloud infrastructures on platforms like AWS and Azure.
My experience spans cutting-edge AI projects, including computer vision, Generative AI, and automation that drive efficiency and unlock new growth opportunities. With proficiency in Python, SQL, Docker, Kubernetes, cloud solutions, and full-stack development, I am dedicated to delivering impactful, end-to-end solutions.
Passionate about pushing the boundaries of AI, I thrive on collaboration to explore new technologies and solve complex problems. If you're looking for a partner to innovate and build solutions that create meaningful change, let's connect and discuss how I can contribute.
Offering AI, data science, and cloud consulting services for companies seeking strategic guidance on AI, cloud architecture, and database solutions. Expert in GenAI and large-scale AI implementations.
Implementing advanced automation solutions using AI and cloud technologies. From automating workflows to product description generation, I ensure scalable and cost-effective operations.
Providing AI-powered web scraping services to gather actionable data. Ideal for market insights, competitor monitoring, or building AI datasets—all with compliance and data integrity in mind.
Full-cycle AI and data project delivery, from concept to deployment. I provide scalable solutions for complex challenges in AI, machine learning, and cloud infrastructures.
Founder and lead consultant, providing end-to-end solutions in AI, data science, and cloud architecture. Specializing in automation and machine learning, I partner with businesses to design, implement, and scale AI-driven systems. Focused on delivering measurable outcomes, I help clients optimize operations, enhance decision-making, and drive innovation through tailored cloud and AI strategies.
Led multiple AI and computer vision initiatives, enhancing crop protection processes through advanced machine learning models. Developed cloud-based solutions that optimized operations, leading to a measurable increase in process efficiency and data-driven decision-making.
Co-founded and built an AI startup specializing in agricultural AI innovations, which was later acquired by a major crop protection company. Led product development, focusing on cutting-edge AI-driven agricultural solutions that improved yield and operational performance.
Developed and deployed AI models for fraud detection and customer churn prediction, significantly reducing financial losses and improving customer retention strategies. Maintained and scaled cloud infrastructures using AWS to ensure secure and efficient model operation.
Designed and developed data warehousing solutions that empowered analytics teams to streamline model development and deployment. Provided insights through business intelligence tools, enabling clients to make data-driven decisions and improve operational efficiency.
Specialized in machine learning, AI, and data-driven methodologies, applying advanced techniques to solve complex real-world problems
Graduated with a focus on strategic business management. Completed a thesis with a grade of 9, demonstrating expertise in business decision-making.
Driven by a passion for continuous learning and innovation, I have pursued a range of advanced courses and certifications to stay at the forefront of AI, cloud, and data science. These programs have deepened my expertise, enabling me to apply the latest technologies to solve complex challenges. Some highlights include:
For a large-scale e-commerce project, I developed an AI-driven solution to automate product descriptions for over 10,000 items across multiple languages. Leveraging advanced language models, the tool generates SEO-optimized, culturally relevant descriptions that engage diverse audiences and enhance global visibility.
Designed an AI-driven algorithm to detect and prevent high-risk mobile contracts, saving millions in revenue by proactively flagging potential bad debt. This solution supports financial stability and growth for mobile providers.
Implemented an anomaly detection system in emergency service infrastructure, analyzing logs to proactively identify potential issues. This solution enhances operational reliability and enables quick responses to infrastructure irregularities.
Developed an AI-driven quality assessment system for bumblebee hives on a conveyor line. This automated process uses image analysis to evaluate hive health and quality, enhancing pollination efficiency and ensuring optimal hive standards for greenhouse applications.
Leveraged AI agents to develop a web scraper that aggregates comprehensive data on driving lesson packages throughout the Netherlands. This pioneering tool gathers insights on lesson packages, pricing, and unique features from numerous driving schools, making this data accessible and comparable for the first time.
Developed an advanced AI solution for counting mites under microscopes, transforming a labor-intensive process into a scalable, efficient workflow. Each analysis involved stitching together over 300 high-resolution images to create a single, comprehensive view, allowing precise mite detection across large samples. The solution includes a scalable infrastructure to process these images, significantly reducing manual effort and lowering labor costs by 90%, while ensuring accuracy and consistency in mite assessments.
Built an innovative platform featuring a React frontend and a vector-based recommendation system, designed to match employees with courses tailored to their development goals. The backend enabled managers to manage learning budgets and facilitate structured development discussions. With advanced course search capabilities, the platform empowered organizations to streamline professional growth in a scalable, data-driven way.
Collaborated as part of a two-person team on a year-long project to migrate Telfort’s analytics databases into KPN’s infrastructure. This large-scale migration involved consolidating complex datasets, ensuring data integrity, and preserving analytics continuity, ultimately enabling unified analytics and supporting KPN’s data-driven initiatives.
Developed a robust model management platform for a telecommunications analytics team, empowering them to efficiently deploy and scale AI models in the cloud using AWS. This platform streamlined the deployment process, allowing for rapid iteration, monitoring, and maintenance of predictive models, driving insights and improving operational efficiency within the organization.
Developed a custom React pricing calculator for a client, empowering them to optimize pricing across over 10,000 products and streamline adjustments for 50+ marketplaces. This application allows for data-driven price management, helping the client maximize profitability and remain competitive across diverse online platforms. The solution is designed to handle large-scale data with efficiency and precision, making it a powerful tool for dynamic pricing strategies.
