Adam Aji is a machine learning engineer with 12 years of experience specializing in machine perception and medical imaging workflows, currently working at Revvity after PerkinElmer's divestiture. He has built robotic ultrasound control software, trained and deployed anatomical segmentation models in PyTorch, and improved deep representation models for visual retrieval in e-commerce. Comfortable across Python, C++, and clinical visualization toolchains like 3DSlicer and VTK, he bridges research and product: from graduate work aligning images and text to shipping ML systems in diagnostics. Based in Chapel Hill, he combines a CS MS and a linguistics background that informs his multidisciplinary approach to perception problems, and he often translates complex model behavior into interactive visualizations for stakeholders.
12 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of North Carolina at Chapel Hill
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