Mukul Jadhav

Model Development: Assist in developing and refining machine learning models, including LLMs and NLP models, to solve business problems. Data Analysis: Clean and analyze large datasets, focusing on text data for NLP tasks. Model Training and Evaluation: Train and evaluate LLMs and NLP models, focusing on tasks like sentiment analysis and text classification. Implementation: Implement LLMs and NLP algorithms to address specific tasks and challenges. Documentation and Communication: Document project progress and communicate findings effectively to stakeholders. Collaboration: Collaborate with teams to design solutions that meet business objectives. Research: Stay updated with the latest advancements in LLMs and NLP research. Continuous Learning: Commit to ongoing learning and development in machine learning and NLP.