Machine Learning Engineer at UF IFAS Citrus Research and Education Center
Gainesville, Florida, United States
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Summary
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Akash Kondaparthi is a Machine Learning Engineer with 14 years of technical experience and a research-driven MS in Electrical and Computer Engineering from the University of Florida. He builds end-to-end AI and computer vision solutions for agriculture and materials science, notably improving leaf wetness detection accuracy from 76% to 94% and deploying autonomous Raspberry Pi-based field devices that feed the Strawberry Advisory System. Comfortable with CNNs and YOLOv5, he designs data pipelines and IoT-integrated systems that move models from lab prototypes to resilient edge deployments. Akash has contributed to interpretable deep-learning work on abnormal grain growth (PRIMME) and supervises ML teams to translate research into impact. Based in Gainesville, FL, he blends hands-on engineering, field-deployable hardware, and a passion for ethical, open-source AI to advance sustainable agriculture.
14 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering, Electrical and Electronics Engineering, 8.39/10, Bachelor of Engineering, Electrical and Electronics Engineering, 8.39/10 at Osmania University
Master of Science - MS, Electrical and Computer Engineering, 3.7, Master of Science - MS, Electrical and Computer Engineering, 3.7 at University of Florida
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Akash Kondaparthi - Machine Learning Engineer at UF IFAS Citrus Research and Education Center