The AWS Developers Podcast

Episode 045 - Computer Vision on AWS with Francesco Pochetti


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In this episode, Dave chats with Francesco Pochetti, Senior Machine Language
Engineer at Bolt, and an AWS Machine Learning Hero. Francesco covers his career start as a
chemist, his journey into a career of Data Science, and how Computer Vision technology is
handling some of the most difficult Machine Learning problems today.
Francesco on Twitter: https://twitter.com/Fra_Pochetti
Dave on Twitter: https://twitter.com/thedavedev
Francesco’s Website: https://francescopochetti.com/
Francesco’s LinkedIn: https://www.linkedin.com/in/francescopochetti/
Francesco’s GitHub: https://github.com/FraPochetti
[BLOG] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon
SageMaker with NVIDIA TensorRT and NVIDIA Triton:
https://francescopochetti.com/blurry-faces-a-journey-from-training-a-segmentation-model-to-deploying-tensorrt-to-nvidia-triton-on-amazon-sagemaker/
[BLOG] Machine Learning and Developing inside a Docker Container in Visual Studio Code:
https://francescopochetti.com/developing-inside-a-docker-container-in-visual-studio-code/
[BLOG] Deploying a Fashion-MNIST web app with Flask and Docker:
https://francescopochetti.com/deploying-a-fashion-mnist-web-app-with-flask-and-docker/
[BLOG] IceVision meets AWS: detect LaTeX symbols in handwritten math and deploy with Docker
on Lambda:
https://francescopochetti.com/icevision-meets-aws-detect-latex-symbols-in-handwritten-math-and-deploy-with-docker-on-lambda/
[DOCS] Amazon Rekognition: https://aws.amazon.com/rekognition/
[DOCS] Amazon SageMaker: https://aws.amazon.com/sagemaker/
[DOCS] Amazon Textract: https://aws.amazon.com/textract/
[DOCS] Deploy fast and scalable AI with NVIDIA Triton Inference Server in Amazon SageMaker:
https://aws.amazon.com/blogs/machine-learning/deploy-fast-and-scalable-ai-with-nvidia-triton-inference-server-in-amazon-sagemaker/
[GIT] Nvidia Triton Inference Server:
https://github.com/triton-inference-server/server/
[GIT] Blurry faces: Training, Optimizing and Deploying a segmentation model on Amazon
SageMaker with NVIDIA TensorRT and NVIDIA Triton:
https://github.com/FraPochetti/KagglePlaygrounds/tree/master/triton_nvidia_blurry_faces
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