Chat with SQL - A Agent based CSM model to chat with databases
Published:
AI-powered customer support chatbot that seamlessly connects to an SQL database to retrieve and provide real-time sales data to users. 
Posts by Collection
portfolio
Q&A ChatBot using Langchain and Open Source LLMs
Published:
Created a Question and Answer Chatbot utilizing the Langchain Framework that utilizes the choice of Llama 2, Llama 3 and Gemma 2 models. 1
Search Engine Application based on AI Agents using Open Source LLMS
Published:
Created a Search Engine Tool utilizing the Langchain Framework and AI Agents along with LLMs 1
Network Data Processing Pipeline Framework PERRY (MS Thesis)
Published:
Designed and implemented PERRY, an adaptable data processing framework for networking data.
Physical Training app using TensorflowJS:
Published:
Created a Physical Training web application utilizing the TensorFlowJS-based MoveNet model for real-time exercise tracking through pose estimation
publications
Optimal Parameter Estimation for acheiving Low Latency and Reliable Communication using Deep Neural Nets
Published in Indian Academy of Science Journal, 2020
Research paper highlighting my work as Summer Research Fellow at Indian Institute of Science
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).
Download Paper | Download Slides
netFound: Foundation Model for Network Security
Published in Arxiv, 2023
Research work exploring the Foundation model for Network Security
Recommended citation: Satyandra Guthula, Roman Beltiukov, Navya Battula, Wenbo Guo, Arpit Gupta, & Inder Monga. (2025). netFound: Foundation
Download Paper | Download Slides
PERRY: Flexible and Scalable Data Preprocessing System for ”ML for Networks” Pipelines
Published in UC Santa Barbara Proquest Electronic Theses and Dissertation, 2023
Masters Thesis Dissertation Defense 2023 Published 2023
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
Download Paper | Download Slides
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
2021 Fall CSW8 - Introduction to Computer Science (Python)
Undergraduate course, University of California, Santa Barbara, Computer Science, 2021
My first class as a Teaching Assistant at UC Santa Barbara. Introduction to Computer Science Link is an introductory programming course offered by Computer Science department open for even outside majors who wish to experience coding as a subject. It comprises of basic programming concepts in Python that is sufficient to give the learner a basic knowledge of programming syntax and core concepts to get started. I have TAed for this class under Professor Yekaterina Kharitanova along with 7 other TAs.
2022 Winter CS154 - Computer Architecture
Undergraduate Course, University of California, Santa Barbara, Computer Science, 2022
Computer Architecture CS154 Link is one of the foundational course in Computer Science that is part of every curriculum. It comprises of concepts of architecture of various components of a computer like CPU, memory, I/O etc. I have TAed for this class under Professor Ziad Matni along with 4 other TAs.
2022 Spring, Fall and 2023 Winter, Spring CS5A - Introduction to Data Science
Undergraduate course, University of California, Santa Barbara, Computer Science, 2023
My most favorite class as a Teaching Assistant at UC Santa Barbara. Introduction to Data Science Link is an introductory Data Science course offered by Computer Science department open for even outside majors who wish to get started with Data Science and Statistics. It comprises of basic programming concepts in Python like foundational programming concepts, problem-solving strategies and code design, and data science concepts as table operations, exploratory data analysis, basic probability. I have worked with Professor Sharon Solis for this course who is an amazing mentor and instructor. I have consistently TAed for this course 4 times.