I am a Software Engineer with expertise in Natural Language Processing (NLP), machine learning, and Generative AI, specializing in developing innovative solutions for efficient data processing and retrieval. My professional experience spans hands-on projects involving advanced transformer models like BERT, GPT-3.5, BART, and Mistral, alongside leveraging Elasticsearch for precise search capabilities within large document repositories.At Appolo Computers, I played a pivotal role in designing and implementing systems that streamline information retrieval and extract valuable insights from extensive PDF datasets. My work focuses on making data-driven decision-making accessible and actionable through cutting-edge technologies.Previously, as a Data Science Intern at AI Variant, I developed a robust job recommendation system by combining web scraping techniques (Python, BeautifulSoup, Selenium) with NLP models like spaCy and NLTK to optimize job matching. I also built sentiment analysis solutions to enhance guest experiences through actionable insights derived from hotel reviews and created predictive models using Random Forest, Gradient Boosting, and XGBoost to drive data-driven outcomes.Key Skills & Expertise:Natural Language Processing (NLP)Machine Learning and Transformer Models (BERT, GPT, Mistral)Data Search and Analytics (Elasticsearch, PDF Parsing)Predictive Modeling & Recommendation SystemsWeb Scraping & Data Cleaning (Python, BeautifulSoup, Selenium)Agile/Scrum MethodologiesI am passionate about transforming complex data into actionable insights and driving impactful results. Let's connect to explore opportunities and ideas in the ever-evolving AI and data science landscape