Fadi Badine

Product Manager at Enghouse Networks

France
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Summary

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Senior
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Fadi Badine is a Product Manager and seasoned software engineer with over 20 years of experience designing and shipping telecom and messaging systems, currently leading product and platform efforts at Enghouse Networks. He blends hands-on engineering with strategic product leadership—replacing legacy XML systems with modern REST APIs, introducing automated testing and CI/CD, and architecting Keycloak-based SSO across multiple products. His work scaled deployments to millions of users and reduced operational friction (for example cutting service creation time by 40% and improving processing efficiency in earlier roles). A former team lead and core developer at Jinny Software, he has deep expertise in real-time charging, billing APIs, and multi-tenant MMSC systems. Based in France, he pairs an MSc in Electrical Engineering with a pragmatic focus on security, performance, and measurable business impact. Notably, he moves fluidly between product strategy and low-level optimization, mentoring engineers while owning major release lifecycles.
code9 years of coding experience
job12 years of employment as a software developer
bookMaster of Science (MSc), Electrical Engineering, Master of Science (MSc), Electrical Engineering at University of Balamand
bookBachelor of Science (BSc), Applied Physics & Electronics, Bachelor of Science (BSc), Applied Physics & Electronics at Lebanese University
languagesEnglish, French, Greek, Arabic
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Github Skills (34)

pytorch10
python10
apple-silicon10
data-science10
machine-learning10
ml10
keras10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
jax10
mysql7
monitoring7
backend7

Programming languages (4)

TypeScriptC++Jupyter NotebookPython

Github contributions (5)

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fbadine/notebooks

Apr 2019 - Oct 2023

A collection of deep learning notebooks
Contributions:2 PRs, 15 pushes, 3 branches in 4 years 7 months
deep-learning
fbadine/util

Feb 2019 - Sep 2022

A repository that contains common generic utilities used by deep learning projects
Contributions:35 commits, 18 PRs, 31 pushes in 3 years 8 months
deep-learning
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