Nicholas Santavas

Applied Researcher at eBay

Utrecht, Utrecht, Netherlands
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Summary

👤
Senior
🎓
Top School
Nicholas Santavas is a tech lead and ML engineering manager based in Utrecht with eight years of experience building efficient AI systems across computer vision, NLP and large language model inference. He combines a PhD-level research focus on efficient neural networks and compression with hands-on MLOps expertise—optimizing models for production using quantization, Triton, TensorRT and vLLM to cut costs and boost throughput. At eBay and prior roles at Axelera and G42 he led model zoo development, scalable CI pipelines and multi-GPU distributed training, translating hardware-aware research into deployable solutions. He has a track record of shipping real-time CV and RAG-based NLP services on Kubernetes and edge AI chips, and his work often centers on squeezing maximum performance from constrained compute. Colleagues value him for bridging deep research insights with pragmatic engineering to deliver measurable production impact.
code8 years of coding experience
job5 years of employment as a software developer
bookMachine Learning Summer School, Machine Learning Summer School at University of Oxford
bookDoctor of Philosophy - PhD Candidate Computer Vision Human-Computer Interaction Neural Networks, Doctor of Philosophy - PhD Candidate Computer Vision Human-Computer Interaction Neural Networks at Democritus University of Thrace - (D.U.Th.)
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Github Skills (40)

pytorch10
python10
machine-learning10
inference10
darknet10
deep-learning10
tensorflow10
cuda10
object-detection10
computer-vision10
gpt10
yolov410
data-science9
ml9
amd9

Programming languages (3)

C++CPython

Github contributions (5)

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Attention! A Lightweight 2D Hand Pose Estimation Approach paper code
Contributions:12 commits, 2 PRs, 11 pushes in 10 months
pytorchpaper-codedeep-learningapproachcomputer-vision
nsantavas/mlx

Dec 2023 - Dec 2023

MLX: An array framework for Apple silicon
Contributions:16 pushes, 2 branches in 12 days
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Nicholas Santavas - Applied Researcher at eBay