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.
8 years of coding experience
5 years of employment as a software developer
Machine Learning Summer School, Machine Learning Summer School at University of Oxford
Doctor 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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