Summary
Pranav Anbarasu is a Data Science Engineer with eight years of experience applying machine learning, data engineering, and biomedical signal processing to real-world healthcare problems. He has built end-to-end ML pipelines and deployed high-performance bioinformatics and imaging workflows—from supercomputer analyses of Parkinson’s biomarkers to production data systems that reduce financial complexity in healthcare. His background spans academic research, industry R&D, and startups, with hands-on expertise in deep learning (CNNs, RNNs), computer vision, IoT/AR prototypes, and cloud/devops for scalable deployments. Notably, he has driven measurable model improvements (e.g., 43% improvement in object detection and large accuracy gains in domain research) and translated prototypes into cost-saving AR and automation solutions. Based in the Greater Seattle Area, Pranav combines biomedical engineering rigor with product-minded engineering and leadership to move novel analytics from lab proofs into impactful clinical and operational tools.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science, Biomedical Engineering, Bachelor of Science, Biomedical Engineering at The University of Texas at Austin
Master of Science, Analytics, Master of Science, Analytics at Georgia Institute of Technology
Study Abroad, Nanotechnology, Study Abroad, Nanotechnology at J.F.Oberlin University
Full Stack Web Development Certification, Computer Software Engineering, Full Stack Web Development Certification, Computer Software Engineering at freeCodeCamp
English, Tamil, Spanish