Jinesh Mehta is a data scientist and machine learning engineer with nine years of experience building production ML systems across healthcare, industrial, and aerospace domains. He has held progressive ML roles at Honeywell, Schneider Electric, and now CVS Health, combining research-forward modeling with production-grade software engineering. Comfortable spanning the stack from model development to deployment, he brings practical experience in scaling ML in regulated enterprise environments. Jinesh pairs technical depth—grounded by MS studies at Northeastern/Khoury College and a computer engineering bachelor's—with a coder’s curiosity and a creative side as a guitarist, a detail that underscores his blend of analytical rigor and iterative creativity.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer and Communication Engineering, Bachelor’s Degree Computer and Communication Engineering at Manipal Institute of Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Northeastern University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Khoury College of Computer Sciences
The aim of this project is to create a dog breed identification application using CNNs. The resulting algorithm could be used as part of a mobile or web app. This design can be applied to image classification problem. The code will accept any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.
Contributions:9 commits, 10 pushes, 1 branch in 2 years
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