With over 12 years of experience in service and product-based industries, I have successfully delivered AI-driven solutions across diverse domains. I have a proven track record in developing predictive models, conducting exploratory data analysis, and implementing machine-learning techniques. I have contributed to cutting-edge projects involving Natural Language Processing (NLP) tasks such as text summarization, similarity analysis, and sentiment classification. My expertise includes leveraging frameworks like BERT and Hugging Face Transformers. I have actively led initiatives in Generative AI, implementing advanced document processing systems using GCP Vertex AI (PaLM 2 models) and embedding techniques. In addition, I bring extensive experience in cloud-based ecosystems, working with AWS (S3, Athena, Redshift, Glue , IAM ) and GCP (BigQuery, Cloud Composer etc), to design and deploy efficient data pipelines and machine learning workflows. I also focus on MLOps practices, utilizing tools like Jenkins, Docker, and Git for continuous integration and deployment. I am dedicated to fostering collaboration and knowledge sharing, mentoring team members, and leading cross-functional teams to deliver high-impact projects. Recently, I enhanced my skills by participating in the IBM Watson Technical Enablement Bootcamp.