Kesar Murthy is a Machine Learning Engineer with eight years of experience applying deep learning and computer vision to real-world products, currently driving ML initiatives at CHEP in Orlando. He has a strong engineering foundation in Python and Java and a background in robotics and ABAP/ERP systems that helps him bridge research models and production constraints. At ClearQuote he built real-time image segmentation and license plate detection for automotive damage assessment, demonstrating a knack for latency-sensitive vision pipelines. While pursuing a Master’s in Computer Science at the University of Central Florida, he also taught as a graduate TA, reinforcing his ability to explain complex concepts and mentor others. Comfortable across the stack from model design to deployment, he combines academic rigor with hands-on product delivery. Colleagues describe him as "Artificially Intelligent"—a concise hint at both his GitHub persona and his practical focus on applied AI.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Dayananda Sagar Institutions
Master's degree, Computer Science, Master's degree, Computer Science at University of Central Florida
Contributions:17 commits, 16 pushes, 1 branch in 1 month
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