Pranathi Vemuri is a computational scientist and consultant with 11 years of experience building scalable image-analysis and bioinformatics pipelines for biotech and research organizations. She combines deep expertise in microscopy, computer vision, and cloud-native engineering—having migrated petabyte-scale pathology data to AWS and orchestrated algorithmic workflows with Dagster and EKS at Genentech. Her background spans algorithm design for 3D tissue reconstruction and quantitative biology, real-time image segmentation and tracking for live-cell studies, and optimizing high-throughput sequencing and spatial transcriptomics processing. Pragmatic and product-focused, she has translated academic research into production tools and GUIs (Napari/QT) used by scientists and pathologists. She’s equally comfortable writing low-level geometric primitives and scaling MapReduce-style pipelines as she is collaborating with cross-disciplinary teams to generate semi-automated annotations and deploy deep-learning inference in the cloud. Based in the Nashville area, she brings a rare combination of hands-on algorithmic rigor and large-scale systems delivery.
11 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at University of Houston
Bachelor's Degree Electrical Electronics and Communications Engineering, Bachelor's Degree Electrical Electronics and Communications Engineering at University College of Engineering, Osmania University
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