Nader Sadek
Deep Learning Engineer at Proteinea
Cairo, Cairo, France
Summary
👤
Senior🎓
Top SchoolNader Sadek is a Deep Learning Engineer with nine years of professional experience and four years focused on ML research and product development, currently advancing protein design at Proteinea. He builds and benchmarks generative and regression models—using equivariant graph neural networks, flow-matching, VAEs, and protein language model fine-tuning—to optimize discrete protein sequences under uncertainty. His background spans applied ML in audio/translation systems, production engineering with AWS services, and end-to-end predictive analytics and API deployment. Known for quickly adapting to diverse projects, he also created automated benchmarking pipelines that align generative outputs with domain-specific metrics. Based in Cairo and pursuing advanced studies at Institut Polytechnique de Paris, he combines strong academic grounding with hands-on research-to-production experience.
8 years of coding experience
1 year of employment as a software developer
Graduated with a percentage of 99.2%, Graduated with a percentage of 99.2% at High SchoolMaster of Science - MS, M2 Data and AI, Master of Science - MS, M2 Data and AI at Institut Polytechnique de Parisbac, Computers and Artificial Intelligence, GPA 3.63, bac, Computers and Artificial Intelligence, GPA 3.63 at Cairo University
English, Arabic
Github Skills (35)
full-stack9
nuxt9
vue9
nvidia-docker8
csr7
pdf7
extraction7
typescript7
text-processing7
cuda7
python-bindings7
data-extraction6
nvidia6
mupdf6
hydration6
Programming languages (3)
Github contributions (5)
NaderJS/algorithmsandbackend_practice
Feb 2018 - Dec 2021
Contributions:10 pushes, 1 branch in 3 years 10 months
NaderJS/dogbreedsTask
Jun 2021 - Oct 2021
Contributions:14 commits, 2 pushes, 1 branch in 4 months
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