Nausheen Fatma is a Senior AI Developer and Consultant specializing in generative AI with 11 years of experience building production-grade NLP and ML systems across healthcare, retail, and enterprise domains. Based in Toronto, she has led end-to-end ML architecture and MLOps—optimizing model training at scale, redesigning storage to cut costs by over 90%, and delivering services for >100K products at Loblaw. Her recent work at ZS applies GenAI to clinical study documents, including deduplication pipelines and multi-agent chat assistants for Amgen, reflecting a strong blend of applied research and product delivery. Earlier roles include developing entity resolution and embedding-based search/recommendation systems that drove measurable business impact (e.g., higher click-throughs and job views) and publishing research from her IIIT Hyderabad work. Comfortable across Python, PyTorch, GCP, Kubernetes, and production data pipelines, she pairs hands-on engineering with mentoring and cross-functional leadership. A less obvious thread through her career is a knack for turning research prototypes (Siamese BiLSTM, S-BERT, ODE-RNN) into scalable production services that directly improve user-facing metrics.
11 years of coding experience
8 years of employment as a software developer
M.S. by Research Computer Science and Engineering (CSE), M.S. by Research Computer Science and Engineering (CSE) at International Institute of Information Technology Hyderabad (IIITH)
Bachelor of Technology (B.Tech.) Computer Engineering, Bachelor of Technology (B.Tech.) Computer Engineering at Jamia Millia Islamia
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Nausheen Fatma - Senior AI Developer And Consultant, Generative AI