Pranav Masariya is a Director of AI Engineering with a decade of experience building and scaling AI and data platforms for healthcare and manufacturing. Currently focused on scaling AI at Sutter Health, he previously led LLM infrastructure, ML platform, and data engineering teams at Stanford Health Care where he co-created ChatEHR and architected PHI-compliant, Databricks-based Lakehouse solutions. He combines hands-on MLOps, cloud architecture (Azure, GCP), and real-time data engineering (HL7v2, CDC, Kafka) to operationalize models at terabyte scale and eliminate infrastructure debt through serverless and container patterns. Pranav has a track record of boosting engineering efficiency via CI/CD automation, monitoring systems, and in-house MLOps templates, and has applied these skills across industries from medical AI to manufacturing anomaly detection. He also brings product-minded engineering experience from startups and advisory roles, including designing a sports and athlete management platform and advising on GenAI strategy. Based in San Jose with an MS in Computer Software Engineering, he prefers not to engage in vendor sales while focused on enterprise AI delivery.
10 years of coding experience
11 years of employment as a software developer
Master of Science (M.S.) Computer Software Engineering, Master of Science (M.S.) Computer Software Engineering at San José State University
Bachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at The Maharaja Sayajirao University of Baroda
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Pranav Masariya - Director, AI Engineering at Sutter Health