Nora Hajjar
CEO & Co-Founder at Stealth AI Startup
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolNora Hajjar is a Senior AI Engineer with a decade of experience building production-grade AI/ML platforms and deploying LLMs at scale, currently driving applied research at Microsoft. She has led end-to-end AI infrastructure and MLOps work—designing backend systems, model packaging, and high-throughput inference pipelines—after building the AI/data platform at ScienceIO and the first data platform at Maven Clinic. Her background blends rigorous computational policy training from the University of Chicago with practical product and startup experience, spanning healthcare, political analytics, and ad-tech. Nora is comfortable bridging research and production: she tunes and fine-tunes models, orchestrates containerized deployments, and optimizes model performance under operational constraints. Known for hiring and leading small data/platform teams, she brings a rare combination of hands-on engineering, ML research curiosity, and domain fluency in transforming unstructured text (medical and consumer) into structured insights.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Edmund A. Walsh School of Foreign Service: Political Science, Bachelor of Science - BS Edmund A. Walsh School of Foreign Service: Political Science at Georgetown UniversityGeneral AssemblyCore: Credential of Readiness, Core: Credential of Readiness at HBX | Harvard Business SchoolMaster of Science - MS in Computational Analysis and Public Policy (MS-CAPP), Master of Science - MS in Computational Analysis and Public Policy (MS-CAPP) at University of Chicago
English, Spanish, Arabic, Portuguese
Stackoverflow
1reputation
0reached
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Github Skills (5)
nlp-machine-learning4
data-science2
science2
python2
machine-learning1
Programming languages (1)
Github contributions (5)
nors230/nors230
Aug 2021 - Jun 2024
Contributions:3 pushes, 1 branch in 2 years 10 months
murray-cecile/cfpb-complaints
May 2020 - Apr 2022
Use NLP machine learning techniques to analyze CFPB consumer complaints
Contributions:2 PRs, 23 pushes, 4 branches in 1 year 11 months
nlp-machine-learning
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