Navya Battula

Navya Battula

Highly motivated and skilled AI Engineer with over an year of experience in developing and deploying Generative AI and Deep learning models. Demonstrated expertise in using cutting-edge AI tools and frameworks to build robust, scalable solutions. Proficient in a wide range of technologies including PySpark, Hadoop, PostgreSQL, TensorFlow, PyTorch, Open CV and more. Proven track record of success through hands-on projects and internships, with significant contributions in Computer Vision, Machine Learning, ChatBots and AI-driven document management systems. Published researcher with a strong foundation in both theoretical and applied AI.

Optimal Parameter Estimation for acheiving Low Latency and Reliable Communication using Deep Neural Nets

Published in Indian Academy of Science Journal, 2020

Worked under the supervision of Professor P. Vijay Kumar of Indian Institute of Science. The project titled Optimal Parameter Estimation for achieving Low Latency and Reliable Communication using Deep Neural Nets is a research module that I have completed while working as Summer Research Fellow at Indian Institute of Science. It involves generating the random values for emission and transmission probabilities in python and using them along with the sim2net package in python to generate packet drop statistics. A dataset constructed from these values can be used to train the deep neural network in generating the transmission and emission values approximately based on only those packet drop statistics efficiently.

Recommended citation: Navya Battula, Vijay Kumar.P (2020)."Optimal Parameter Estimation for acheiving Low Latency and Reliable Communication using Deep Neural Nets", Indian Academy of Sciences Journal(3).
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