Ragy Haddad
Senior Applied AI Engineer at TetraScience
Boston, Massachusetts, United States
Summary
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Senior🎓
Top SchoolRagy Haddad is a Senior Applied AI Engineer based in Boston with eight years of experience building ML-driven drug discovery and bioinformatics platforms. He has led end-to-end predictive and generative chemistry efforts—architecting systems that accelerate lead optimization and de-novo small molecule design across multiple drug programs. His background spans cloud infrastructure, API and database development, and deploying containerized bioinformatics pipelines, blending hands-on engineering with domain expertise in microbial genomics and cheminformatics. At DeepBiome and Cellarity he bridged computational modeling and wet-lab workflows, delivering generative models and QSAR predictors that informed synthetic biology and chemistry teams. Now at TetraScience, he continues applying AI to life-science data engineering at scale, combining research-grade modeling with production-ready services. A Georgia Tech bioinformatics master’s graduate, he brings a rare mix of production cloud engineering and specialized ML for small-molecule discovery.
8 years of coding experience
8 years of employment as a software developer
Master's degree Bioinformatics, Master's degree Bioinformatics at Georgia Institute of TechnologyUniversity of Georgia
English, Arabic, French
Github Skills (32)
flower10
cpp8
python8
federated-learning8
android8
artificial-intelligence8
pytorch7
ios7
machine-learning7
tensorflow7
ai7
scikit-learn7
deep-learning7
grpc7
raspberry-pi7
Programming languages (2)
Github contributions (5)
ragyhaddad/automated-testing-analysis
Aug 2018 - Dec 2022
Contributions:8 commits, 10 pushes, 1 branch in 4 years 5 months
ragyhaddad/Javascript-D3-Portfolio
Aug 2019 - Dec 2022
Contributions:5 pushes, 1 branch in 3 years 5 months
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