Navya Kooram, M.S.
Software Application Developer (IT Expert)
navyakooram@ufl.edu
Navya has been working as a Software Application Developer for the University of Florida’s Institute of Food and Agricultural Sciences (IFAS) Office of Information Technology. Navya is currently working for National Plant Diagnostic Network (NPDN) and Southern Plant Diagnostic Network (SPDN) which are national and regional networks of public agricultural institutions with a cohesive, distributed system to quickly detect high consequence, biological pests and pathogens into our agricultural and natural ecosystems, identify them and immediately report them to appropriate responders to enhance national agricultural security.
In her role as an Application Developer, Navya provides production level services in the development of agricultural software applications, native mobile apps and database systems. Her responsibilities include coordination, planning, design, development, and post-release evaluation of SPDN and NPDN Training systems to support research programs which focus on NPDN First Detector education programs and coordinating with researchers and collaborators in SPDN to investigate and interpret diagnostic data requirements, managing multiple databases and conducting independent research and design as needed.
Navya graduated with a Master’s Degree in Computer Engineering from University of Florida in May of 2010 and with a Bachelor’s Degree in Computer Science and Engineering from Jawaharlal Nehru Technological University (India) in May of 2008. She worked as a Software Intern at Renaissance Softlabs/Idealabs, India on a Recruitment Portal and an Online Instant Messenger in 2007/2008.
Prior to her position with SPDN/NPDN Training, Navya developed several information systems for IFAS/IT, UF such as Florida State Agriculture Response Team (FLSART), IFAS Directory, UF/IFAS Subscription Management System, Distance Diagnostic and Identification System (DDIS). These systems helped to disseminate the latest research result from both internal UF and external UF research projects to the public. Such work experience led to a much better understanding about how to develop agriculture information systems.