Sepide Movaghati is a software engineer and technical lead with a strong track record of turning research-grade algorithms into production-grade SaaS features, currently focused on generative AI and LLMs at Microsoft. She built and led the Safety AI team at Veeva Systems, designing core Java/SpringBoot services, multi-tenant data ingestion on AWS, and productizing NER models with SageMaker for pharmacovigilance automation. Her background spans medical image processing and regulatory-grade software from Synaptive, where she moved proofs-of-concept through validation, patenting, and clinical deployment using C++, C#, and Azure. Comfortable across cloud, databases, and low-level algorithms, she combines hands-on implementation with team-building, mentorship, and scrum leadership. A former neuroscience researcher, she brings domain depth in biomedical data, signal processing and experiment design that informs robust ML and data pipelines. Colleagues describe her as intensely focused in collaborative settings and skilled at translating complex requirements into auditable, production-ready systems.
2 years of coding experience
9 years of employment as a software developer
BSc Electrical Engineering, BSc Electrical Engineering at University of Tehran
MSc Biomedical Engineering, MSc Biomedical Engineering at McGill University
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