Arnab Maity
Research Assistant @Center For Digital Health And Artificial Intelligence At Johns Hopkins Cdhai
Signup · Get unlimited contacts
WORK HISTORY
Research Assistant @Center For Digital Health And Artificial Intelligence At Johns Hopkins Cdhai
Baltimore, MD, US
Architected a HIPAA compliant multi-agent clinical AI platform utilizing LangGraph, enhancing patient-clinician interactions. • Developed an end-to-end pipeline for streaming Epic EHR data into Azure Data Lake, ensuring data governance with Unity Catalog. • Implemented MLflow for model registry and Azure AD SSO for secure access, maintaining compliance with HIPAA regulations.
EDUCATION
Johns Hopkins Whiting School of Engineering
Master of Science - MS, Computer Science
Institute of Engineering & Management (IEM)
Bachelor of Technology - BTech, Electrical Engineering Technologies/Technicians
ABOUT ARNAB MAITY
Pursuing a Master of Science in Computer Science at Johns Hopkins University, with a focus on building multi-agent systems, Computer Vision, and Generative AI for medical applications.Currently contributing as a Research Assistant across two labs at JHU. At the ARCADE Lab, I am working on a bronchoscopy trajectory optimization pipeline that uses Video Diffusion Models with Diffusion Transformers and ControlNet conditioning to synthesize anatomically realistic endoscopic video sequences for surgical planning and training data augmentation. At CDHAI, I worked on the development of HIPAA compliant clinical AI platforms to improve patient-clinician interactions, including architecting multi-agent systems with LangGraph, building robust EHR data pipelines with Azure Data Lake and MLflow, and ensuring regulatory compliance through Azure AD SSO and RBAC.Previous professional experience includes leading full-stack SAP implementations at PwC, where the team enhanced system capabilities and streamlined enterprise processes at scale. Technical expertise spans AWS, Azure, MLOps, Computer Vision, and Generative AI. Passionate about leveraging advanced technologies to address critical challenges in healthcare and beyond, with a commitment to secure, scalable, and production ready solutions.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.