With a Master's degree in Computer Science from Stony Brook University, my journey at Nagarro as a Machine Learning Engineer has been focused on designing data and model pipelines, leveraging Python and AIML to enhance data integrity and operational efficiency. My core competencies lie in optimizing Large Language Models (LLMs) and developing robust Data Validation frameworks, ensuring quality outcomes in complex data environments. My contributions at Nagarro have included the implementation of automated monitoring systems, reducing data pipeline downtime significantly. Collaborating with cross-functional teams, we've empowered data-driven decision-making and fine-tuned LLMs for precise information extraction. As part of a team that values innovation and quality, I am committed to bringing my expertise in machine learning and data analysis to address challenges and drive progress.