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.

PERRY: Flexible and Scalable Data Preprocessing System for ”ML for Networks” Pipelines

Published in UC Santa Barbara Proquest Electronic Theses and Dissertation, 2023

PERRY is my masters thesis dissertation in which I discuss the prevailing issue of tight coupling between data processing and model training parts in Machine learning for networking pipelines and then try to address this problem with a flexible and scalable data processing framework called PERRY. Leveraging state of the art tools and being scalable with limited resources makes our framework an easy to use solution for networking researchers.

Recommended citation: Battula, N. (2023). PERRY: A Flexible and Scalable Data Preprocessing System for "ML for Networks" Pipelines. UC Santa Barbara. ProQuest ID: Battula_ucsb_0035N_16163. Merritt ID: ark:/13030/m5j49rxb. Retrieved from https://escholarship.org/uc/item/6p42s4w9
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