Mark Berger
Data Scientist & Junior Data Engineer
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolMark Berger is a Data Scientist and Junior Data Engineer based in Amsterdam with a decade of experience building AI-driven prototypes and production pipelines for sensitive government data. He co-founded a Data Lab at the Dutch Ministry of Finance, contributing across NLP, computer vision, network analysis, and MLOps using Python, TensorFlow/PyTorch, FastAPI, Docker/Kubernetes and GCP. Academically strong in information retrieval and embeddings (MSc thesis implemented by Zeta Alpha and published at EMNLP workshop), he blends research rigor with hands-on engineering to move models into service. Mark is also active in responsible and green AI initiatives, co-initiating aitopia to promote ethical, sustainable AI practices. Known for diving into varied challenges, he pairs UX/prototyping instincts with backend data engineering to deliver practical, user-aware ML solutions.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.Sc.), Artificial intelligence, Bachelor of Science (B.Sc.), Artificial intelligence at Universiteit UtrechtMaster of Science - MS, Information Studies: Information Systems, 8.6/10, Master of Science - MS, Information Studies: Information Systems, 8.6/10 at Universiteit van Amsterdam
Russian, English, Dutch
Stackoverflow
1,214reputation
47kreached
65answers
8questions
Github Skills (169)
similarity-search10
nearest-neighbors10
speech10
clustering10
similarity10
cosine-similarity10
javascript9
autoencoder9
onnx9
yolov59
whisper9
intent-classification9
timestamps9
golang9
faiss9
Programming languages (8)
Github contributions (5)
mabergerx/junction2k19
Nov 2019 - Dec 2023
Repository for the HackJunction 2019 project.
Contributions:23 PRs, 24 pushes, 20 branches in 4 years 1 month
mabergerx/hack_the_poacher
Jan 2020 - Sep 2024
Data Systems Project (MSc IS 2019 @ University of Amsterdam). Gaining insights in poaching using deep multi-agent reinforcement learning.
Contributions:38 PRs, 74 pushes, 33 branches in 4 years 9 months
amsterdammsc-projectagentdeep-learningreinforcement-learning
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