Mukkesh Ganesh is a Senior Scientist and applied AI engineer with eight years of experience building ML systems for healthcare and enterprise AI products, currently leading R&D in 3D cardiac mapping, semantic segmentation, and ECG signal processing to advance atrial fibrillation diagnostics. He has bridged research and production—authoring a meta-learning framework at USC that improved medical image segmentation over SOTA and deploying RAG pipelines and hierarchical agentic workflows in cloud production using GPT-4/PaLM, Pinecone, and MongoDB. Comfortable across the stack, he has handled large-scale EHR analytics, synthetic data generation, and end-to-end ML pipelines, and brings hands-on expertise in medical-NER and scalable data engineering. Based in Irvine, CA, he combines academic rigor with product-focused engineering, favoring optimization-driven approaches (hence “Nesterov-ing” through problems) and a knack for turning research into clinical-grade tools.
8 years of coding experience
4 years of employment as a software developer
Master of Science, Computer Science, Master of Science, Computer Science at University of Southern California
AISSCE - Physics, Chemistry, Mathematics, English and Computer Science, AISSCE - Physics, Chemistry, Mathematics, English and Computer Science at Maharishi Vidya Mandir Senior Secondary School
Bachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at Vellore Institute of Technology
Elephant detection (from live video feed) and alert system using Edge AI and IOT
Contributions:11 commits in 9 months
video-feedalertelephantedgevideo
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Mukkesh Ganesh - Senior Scientist at EnChannel Medical LTD