Joe Khalil
AI Architect at BMW Group
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolJoe Khalil is an AI Architect at BMW Group in Munich who specializes in applying generative AI and simulation-driven synthetic data to industrial computer vision problems. With a PhD in Computer Science focused on simulation-based data generation and four years of hands-on experience across R&D, internships, and doctoral research, he moves academic advances into production workflows that automate visual inspection and boost operational efficiency. He led work on large-scale synthetic datasets (including collaboration on SORDI.ai) and has partnered with industry leaders like NVIDIA and Google, giving him practical insight into scaling AI for manufacturing. Comfortable bridging technical and business teams, he combines mechanical engineering roots with deep ML research to deliver pragmatic, end-to-end AI solutions.
4 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université Marie et Louis PasteurLebanese Baccalaureate General Sciences, Lebanese Baccalaureate General Sciences at Saint Joseph School Cornet ChahwanBachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Notre Dame University - Louaize (NDU)
English, French, German, Arabic
Github Skills (15)
tensorboard10
resnet10
get-started9
rest-api9
docker9
object-detection9
computer-vision9
machine-learning8
keras8
tensorflow7
python7
no-code7
deep-learning7
neural-network6
deep-neural-networks5
Programming languages (1)
Github contributions (1)
BMW-InnovationLab/BMW-TensorFlow-Training-GUI
Nov 2021 - May 2024
This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
Contributions:2 PRs, 2 branches in 2 years 6 months
pythongui-basedno-codestate-of-the-arttraining
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