Daniele Acquaviva
Applied Scientist at TomTom
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolDaniele Acquaviva is an applied scientist and computer vision engineer with 9 years of experience building end-to-end ML/DL pipelines, from dataset collection and annotation to deployment on edge, fog, and cloud infrastructures. He has delivered production-ready solutions across OCR, object detection, segmentation, 3D reconstruction and zero-shot/multi-modal retrieval, while optimizing models for real-time inference on devices like Jetson, Coral and Hailo. Comfortable spanning R&D and product contexts, he has led proof-of-concepts with customers, established MLOps practices using Triton, MLFlow and CI/CD, and leveraged foundational models to speed up annotation. His background includes a master’s in Data Science for Decision Making and hands-on experience with PyTorch, ONNX/OpenVINO/TensorRT, OpenCV and vector databases. Based in Amsterdam, Daniele combines practical systems design with research-driven techniques (e.g., self-supervised and domain adaptation work) to shrink model size and latency without sacrificing accuracy.
9 years of coding experience
5 years of employment as a software developer
Master's degree Data Science for Decision Making, Master's degree Data Science for Decision Making at Maastricht UniversityBachelor of Applied Science - BASc Computer science, Bachelor of Applied Science - BASc Computer science at Universidad de Castilla-La ManchaBachelor of Applied Science - BASc Computer science, Bachelor of Applied Science - BASc Computer science at Università degli Studi di Bari
English, Spanish, Italian
Github Skills (44)
lifecycle9
artificial-intelligence9
recommendation-system9
lightning9
pytorch9
openvino9
python9
machine-learning9
inference9
diffusion-models9
natural-language-processing9
ai9
generative-ai9
deep-learning9
nlp9
Programming languages (5)
Github contributions (5)
dacquaviva/yolov5-openvino-cpp-python
Jun 2022 - Sep 2022
Example of using ultralytics YOLOv5 with Openvino in C++ and Python.
Contributions:21 commits, 2 PRs, 17 pushes in 2 months
pytorchpythondeep-learningobject-detectioncomputer-vision
dacquaviva/Tic-tac-toe
Nov 2018 - Nov 2018
Contributions:31 pushes, 1 branch in 1 day
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