As a Prompt Engineer at Zensar Technologies, I play a pivotal role in advancing the performance and utility of cutting-edge AI systems. I specialize in creating and optimizing high-quality content for various AI models, focusing on conversational prompts, generative responses, video descriptions, content summarization, and image/video caption generation.My responsibilities include evaluating both human and AI-generated prompt-response pairs, providing detailed feedback, and suggesting improvements to enhance accuracy and relevance. I also compare and rate AI-generated responses on multiple parameters, continuously refining them to ensure optimal performance.With a deep understanding of NLP concepts and large language models, I bring a creative, analytical mindset to problem-solving in AI systems. My passion for language, storytelling, and attention to detail drives me to push boundaries and contribute to AI advancements.

Currently serving as an AI/ML Engineer Intern at AspireIT, my role revolves around Natural Language Processing (NLP). I'm tasked with developing and fine-tuning NLP models, conducting sentiment analysis, and implementing techniques like word embeddings and named entity recognition. Leveraging Python alongside libraries such as NLTK and spaCy, I'm passionate about optimizing algorithms for text classification and information extraction.

During my role as a Machine Learning Intern, I actively engaged inthe implementation of machine learning models using Python, TensorFlow, and scikit-learn. I gained practical experience in algorithms such as linear regression, decision trees, and support vector machines. Collaborating closely with teams, I contributed to data preprocessing, feature engineering, and the evaluation of models. This internship significantly enhanced my skills in the entire machine learning pipeline, from data collection to deployment, offering valuable insights into real-world applications

As a Data Analyst, I transformed complex datasets into actionableinsights, leveraging advanced Excel and SQL skills. My role includedcleaning and analyzing data, producing clear visualizations, andcollaborating with cross-functional teams to drive informeddecision-making. Through precise reporting and a keen eye for detail, I contributed to optimizing processes and enhancing overallbusiness efficiency.