Jan Kociniak
AI Engineer at Tangent
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolJan Kociniak is an AI engineer with eight years of hands-on experience building and deploying machine learning systems, currently focused on multi-agent conversational search and speech synthesis at Tangent. He combines a strong theoretical foundation in computer science and mathematics with practical research—completing an MSc at the University of Amsterdam where he developed a novel method for modeling Riemannian geometry of high-dimensional point clouds and presented at Cambridge. His work spans end-to-end ML pipelines: from normalizing-flow anomaly detection and real-time pose estimation to IR, reasoning systems, and TTS model finetuning and optimization. Fluent in Python and experienced with PyTorch, Triton, ChromaDB, FastAPI and containerized microservices, he bridges research and production deployment. A collaborative problem-solver, he leverages geometric and structural properties of data to improve model performance—often applying insights from manifold learning and implicit neural representations to practical engineering problems.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of AmsterdamBachelor's degree Computer Science, Bachelor's degree Computer Science at University of Warsaw
Polish, English
Github Skills (9)
python9
gpu9
deep-learning8
machine-learning8
numpy7
neural-network7
tensor6
gpu-acceleration6
autograd6
Programming languages (3)
Github contributions (5)
jkociniak/hyper-dl
Feb 2022 - Jul 2022
Contributions:84 pushes, 1 branch in 5 months
jkociniak/protein-dynamics
Mar 2024 - Jan 2025
Contributions:43 pushes, 1 branch in 10 months
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