Summary
Paweł Dyda is an AI/ML engineer with 10 years of experience, specializing in NLP and computer vision, backed by data engineering support. He has built and optimized end-to-end Document AI pipelines at Snowflake and led transformer-based information extraction from document images at Applica. His tech stack includes Python, PyTorch, OpenCV, scikit-learn, Keras, Apache Spark, Scala, Cassandra, and Kafka, reflecting a strong bias toward scalable data-driven ML production. He has delivered large-scale NLP systems such as an ad-targeting classification and a table-detection module using Faster R-CNN, plus OCR evaluation pipelines and PDF extraction tooling. Based in Serock, Poland, he is currently AI/ML Engineer at Sii Poland, combining research depth with practical engineering to improve throughput and reliability in real-world deployments.
10 years of coding experience
23 years of employment as a software developer
Polsko-Japońska Wyższa Szkoła Technik Komputerowych w Warszawie
Zajączek
English, Polish, Russian, German, Dutch, Czech