Summary
Gergely Papp is a Data Scientist and Consultant based in Amsterdam with 11 years of experience building and delivering end-to-end ML solutions across research and industry. He bridges deep learning research and production engineering, with hands-on expertise in PyTorch, TensorFlow, JAX, AWS/Bedrock, LangChain and deployment tools like Docker. His background spans computer vision, NLP (including RAG and transformer compression), time-series forecasting and robustness for real-time systems, and he has a track record of turning research ideas into published results and production endpoints. At university he streamlined grading with a Chrome extension that cut a 16-hour task down to 15 minutes, reflecting a practical focus on productivity gains. Currently active as an AI Engineer and Data Scientist, he combines academic rigor from the Rényi Institute with pragmatic product delivery for startups and consulting clients.
11 years of coding experience
6 years of employment as a software developer
Bachelor's of Science (BSc), Computer Science, Bachelor's of Science (BSc), Computer Science at The University of Manchester
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of Amsterdam
Hungarian matura, Mathematics, Hungarian matura, Mathematics at Fazekas Mihaly Secondary School
English, Hungarian, French