Daniel Vliegenthart is a pragmatic senior data engineer and technical leader with over a decade of experience building scalable data pipelines, serverless systems, and ML-driven document-search products. Currently at Meta after leading engineering and CTO roles at Parsel.ai, he combines hands-on delivery—designing partitioned S3 datalakes, high-throughput ETL, and hybrid semantic+sparse search—with people leadership across cross-functional teams. He excels at turning research-grade NLP, OCR and LLM prototypes into production services, having architected cost-efficient, parallelized processing of hundreds of millions of JSONs and document Q&A systems. A TU Delft data science MSc and former CTO, he brings a curiosity-driven approach to reducing technical debt, improving observability, and shipping practical solutions that save customers time and cut errors.
10 years of coding experience
10 years of employment as a software developer
Internship Nature Language Processing & Information Retrieval, Internship Nature Language Processing & Information Retrieval at National Institute of Informatics
Master of Science - MS Computer Science, Master of Science - MS Computer Science at KTH Royal Institute of Technology
Master of Science - MS Computer Science: Data Science & Technology, Master of Science - MS Computer Science: Data Science & Technology at Delft University of Technology
Bachelor’s Degree Computer Science & Biology, Bachelor’s Degree Computer Science & Biology at University of Waterloo
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