I'm a Master's research student at IIT Tirupati's Computer Science Department, focusing on the intersection of natural language processing (NLP) and software engineering. Before this, I spent over three years as a software engineer, working on Anti-Money Laundering and Risk Finance Technology, which honed my skills in data analytics and model development. This industry experience inspired my current academic focus on Federated Large Language Models (FedLLM), particularly in training, fine-tuning, and applying these models to real-world software engineering problems.

I am passionate about exploring neural network models, language models, and open-source LLMs, applying them across various NLP tasks. My primary project involves training the LLama model using Federated Learning to ensure privacy while sharing learned knowledge through model weights.

• "Code Summarization without Direct Access to Code - Towards Exploring Federated LLMs for Software Engineering" (EASE-2024): A study on training LLMs with Federated Learning to maintain data privacy.
• "On the Need for Empirically Investigating Fast-Growing Programming Languages" (ICSE-Proceedings-2024): Discusses the importance of empirical research on emerging programming languages.
• “What Do Developers Feel About Fast-Growing Programming Languages? An Exploratory Study“ (ICPC-2024): Examines developers' emotions using the Distill-RoBERTa model through GitHub comments and surveys.

For additional details about my work, please visit my Researchr profile.

Interested in NLP or software engineering projects? Have questions or feedback? Reach out to me—let's explore new frontiers in research together! Happy researching :)