Emmanuel Bertrand
Group Product Manager at Confluent
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolEmmanuel Bertrand is a Group Product Manager based in Seattle with 8 years of experience building cloud and edge platforms that enterprises trust and developers enjoy using. He has led product teams at Confluent and Microsoft, driving scalable, secure services for data-in-motion and IoT/edge scenarios while managing cross-functional teams and complex launches. His background spans product leadership, program management, and hands-on growth of consumer and enterprise apps—from Xbox Music and the Windows Movies & TV player to Azure edge services. Trained as an engineer at École Polytechnique and the University of Michigan, he combines multidisciplinary technical depth with a track record of scaling global deployments and hiring and mentoring product teams. An uncommon strength is his ability to translate research-driven experimentation into production features that move both developer adoption and enterprise reliability metrics.
8 years of coding experience
15 years of employment as a software developer
MS, Mechanical Engineering, MS, Mechanical Engineering at University of MichiganGinetteMSE, Multidisciplinary scientific education (Maths, Economics, Computer Science, Physics, Chemistry,...), MSE, Multidisciplinary scientific education (Maths, Economics, Computer Science, Physics, Chemistry,...) at Ecole polytechnique
French, English
Github Skills (60)
siemens10
opc10
connected10
jetson10
microsoft10
microsoft-azure10
hierarchy10
azure-iot-edge10
nvidia-jetson10
to-do10
nano10
raspberry10
nvidia10
deepstream10
strict10
Programming languages (10)
Github contributions (5)
emmanuel-bv/iotedge-iva-nano
Dec 2019 - Jul 2020
Quickstart to deploy an Intelligent Video Analytics application running at the edge over multiple cameras and with custom AI models.
Contributions:108 commits, 42 PRs, 46 pushes in 7 months
video-analyticsanalyticsobject-detectiondockermachine-learning
Azure-Samples/Custom-vision-service-iot-edge-raspberry-pi
May 2018 - Sep 2021
Sample showing how to deploy a AI model from the Custom Vision service to a Raspberry Pi 3 device using Azure IoT Edge
Contributions:83 commits, 28 PRs, 57 pushes in 3 years 4 months
raspberry-pivisionraspberryazure-iot-edgeazure-iot
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