Pooja Kumari is a director-level AI engineer with eight years of experience building production-grade ML and computer vision systems, currently leading GenAI search engine efforts at Morgan Stanley. She has progressed from full-stack development to principal AI/ML roles at major financial firms, blending hands-on model development with architecture and deployment of transformer-based search and agentic AI infrastructure. Her background spans end-to-end solutions—OCR and extraction pipelines, unsupervised language models for agent assistance, and scalable data stores like Elasticsearch and Cassandra—rooted in a strong Python and Java/Spring tech stack. Notably, her Verizon master’s project achieved an 87% object-detection accuracy by integrating TensorFlow, OpenCV, and Unity, reflecting both experimental rigor and practical engineering. Comfortable interfacing with product and engineering leaders, she brings a track record of turning research prototypes into reliable, scalable services across finance, cybersecurity, and enterprise HR domains. Based in the NYC metro area, she combines deep ML know-how with full-stack instincts and hands-on deployment experience in cloud-native environments.
8 years of coding experience
7 years of employment as a software developer
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New Jersey Institute of Technology
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