Angelo Delli Santi
Deep Learning Engineer at Zenseact
Malmo, Sweden
Summary
👤
Senior🎓
Top SchoolAngelo Delli Santi is a deep learning engineer with nine years of experience building and deploying computer vision systems, currently at Zenseact and completing an MSc in Machine Learning at KTH. He has driven end-to-end pipelines from model training on AWS and SageMaker to quantized deployments on edge devices and Linux embedded systems, and has hands-on experience with PyTorch, TensorFlow, C++, Docker and CI automation. At Axis Communications he worked on ViT models, visual embeddings, semi-supervised learning and auto-annotation, supervised a master’s thesis on fisheye object detection, and contributed to the YOLOv5 ecosystem. Angelo blends research and production strengths—experimenting with LLM/RAG for documentation QA—bringing a practical focus on low-latency inference and scalable deployment.
9 years of coding experience
3 years of employment as a software developer
KTH Royal Institute of TechnologyBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Politecnico di Torino
English, Italian, French
Github Skills (73)
deep-learning10
tflite10
yolov510
onnx10
axis10
yolov810
camera10
object-detection10
ultralytics10
pytorch10
ios10
machine-learning10
coreml10
yolov410
ml9
Programming languages (8)
Github contributions (5)
AxisCommunications/acap-computer-vision-sdk-examples
Jan 2022 - Jan 2023
Example applications that provide developers with the tools and knowledge to use Axis Camera Application Platform (ACAP) Computer Vision solution
Contributions:6 releases, 18 reviews, 38 commits in 1 year
analyticsaxispythonvisionknowledge
AxisCommunications/axis-model-zoo
Feb 2023 - Sep 2024
Collection of machine learning models to use in Axis cameras
Contributions:1 release, 10 reviews, 22 PRs in 1 year 7 months
axiscameracomputer-visionmachine-learning
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