Hamed Zitoun is a Senior Data & AI Engineer based in Paris with 11 years of experience building production-grade data platforms, real-time streaming pipelines, and ML/DL solutions across cloud-native environments. He has led implementation of telemetry and lakehouse architectures using Kafka, Debezium, Spark, Kubernetes and cloud services (AWS, GCP), and regularly ships models from prototyping to production. As a GCP ML certified engineer and founder of Autogeo.ai, he pairs strong MLOps and software engineering skills with hands-on computer vision and NLP work (RoBERTa, FAISS) for enterprise use cases. Hamed also trains teams in ML/DL and publishes daily insights on machine learning, blending practical system design with continuous learning and community engagement. An understated strength is his track record of turning research prototypes into award-winning, operational products in regulated domains like healthcare and public services.
11 years of coding experience
6 years of employment as a software developer
Data Scientist Nanodegree Data Processing, Data Scientist Nanodegree Data Processing at Udacity
Engineer's Degree Computer Software Engineering, Engineer's Degree Computer Software Engineering at ENSI - Ecole Nationale des Sciences de l'Informatique
Take pictures 📷 secretly (without preview or launching device's camera app) using Android CAMERA2 API
Contributions:4 releases, 74 commits, 1 PR in 5 years 2 months
sdk-androidgradlecameramobilepictures
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