Jochem Poeder is a business analyst and search/match specialist with 25+ years of engineering experience and five years focused in his current analyst role, combining deep expertise in intelligent web scraping, error-tolerant search, NLP and similarity modeling. He has driven critical projects at the Belastingdienst—acting as scrum master, developer and interim product owner on a high-stakes document-scanning modernization with Azure DevOps and CI/CD—and co-founded UITkiezer.nl where he built a generic Java-based scraper that automatically recognized event lists across hundreds of sites. Comfortable translating complex business needs into clear technical requirements and backlogs, he guides distributed teams across the Netherlands and India to deliver production-ready systems. Notably, his work emphasizes algorithms and data structures that mimic human judgments of similarity, enabling robust search over noisy OCR and web data.
5 years of coding experience
22 years of employment as a software developer
VWO, VWO at Wesselgansfort College
Master, Linguistics, Master, Linguistics at Universiteit Leiden / Leiden University
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Jochem Poeder - Business Analist at Belastingdienst