Omar Hussein is a Senior AI Engineer in New York with nine years of experience building production-grade ML and AI systems that bridge research and engineering. He combines a Master’s in Data Science and a Computer Science & AI undergraduate degree with hands-on expertise in Python, FastAPI, TensorFlow, PyTorch and scalable data pipelines on AWS/Databricks. Omar has led end-to-end projects—from GNN-driven personalization and RAG-enabled chatbots to large-scale financial document processing (75K+ docs per batch) and image-generation/upscaling integrations—while containerizing solutions for reproducible deployments. He’s equally comfortable architecting ETL and PySpark packages as he is implementing LLM-driven classification and unsupervised clustering POCs, demonstrating a knack for turning complex ML research into reliable services. An interesting thread across his roles is repeatedly shipping hybrid systems that marry advanced models with pragmatic engineering (e.g., middleware-connected query handling and sentence-window RAG) so teams can use cutting-edge AI in production.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer science and Artificial intelligence with Honors, Bachelor's degree Computer science and Artificial intelligence with Honors at University of Nottingham
Master's degree Data Analytics and Visualization (Data Science), Master's degree Data Analytics and Visualization (Data Science) at Katz School of Science and Health
Contributions:48 commits, 6 pushes, 1 branch in 22 days
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