Groningen, Groningen, Netherlands
I enjoy building AI solutions that solve real business problems. My journey into AI started with data. Over the past four years, I’ve been helping businesses make better decisions through analytics, predictive models, automation, and data-driven insights. Today, my focus has expanded to designing AI-powered applications, intelligent agents, and LLM-based solutions that make work faster, smarter, and more scalable. I work across the full lifecycle of a project—from understanding business needs and preparing data to building models, automating workflows, and communicating results to stakeholders. I enjoy bridging the gap between business and technology, turning complex ideas into practical solutions that people actually use. My core stack includes Python, SQL, Machine Learning, Generative AI, LLMs, AI Agents, workflow automation, and data analytics. I’m particularly interested in: • AI agents and autonomous workflows • LLM applications and business automation • Predictive analytics and forecasting • Product and customer analytics • Rapid prototyping of AI solutions I’m always excited to collaborate on products where AI creates measurable value for users and businesses.
* Built AI agents and intelligent automation solutions using Python, LLMs, Neo4j, Cypher, and multi-source data integration. * Designed scalable data preprocessing algorithms using Python, SQL, R, and Snowflake for large-scale analytics and demand forecasting. * Designed and implemented an automated estimation solution that eliminated manual calculations across a product portfolio of over 100,000 items by leveraging existing product data. * Built automated data acquisition pipelines using Python, web scraping, APIs, and multi-source data retrieval techniques. * Designed analytical workflows, dashboards, and reports using Python, SQL, R, and Power BI to deliver actionable insights for business decision-making * Improved data quality, reliability, and consistency through automated validation and data cleansing processes. * Leveraged Python, SQL, R, Snowflake, Neo4j, and Cypher to build scalable data science and AI solutions. * Automated repetitive analytical processes, increasing efficiency and reducing manual work. * Delivered end-to-end projects, from business requirements and solution design to deployment and stakeholder communication. * Applied Machine Learning, Generative AI, and LLMs to solve complex business problems and support data-driven decision-making.