PAVAN

I am an IT professional with around 5 years of experience in AI/ML, NLP, LLM-based solutions, and MLOps across healthcare, telecom, and banking domains. I specialize in designing, developing, and deploying end-to-end machine learning pipelines and predictive analytics solutions, including Regression, Classification, Neural Networks, and Deep Learning models. My expertise spans Natural Language Processing, conversational AI, chatbots, LSTM, Transformers, and fine-tuned LLMs, with hands-on experience in implementing deep learning pipelines using sequential architectures, custom layers, and high-performance NLP models. I have practical experience in MLOps, including model deployment, monitoring, versioning, and pipeline automation using AWS SageMaker, GCP AI/ML services, Streamlit, and Docker. Additionally, I am skilled in Python automation, web scraping using BeautifulSoup, Requests, and Selenium, and leveraging Microsoft Power Automate to streamline workflows and enhance operational efficiency. I possess strong knowledge of databases such as SQL Server and Snowflake, cloud platforms including AWS and GCP, and AWS services like S3, SageMaker, Lambda, API Gateway, EC2, and BedRock, enabling scalable, serverless, and ML-powered solutions. I am proficient in OOP principles, decorators, iterators, lambda functions, and generators, and have extensive experience in data preprocessing, feature engineering, hyperparameter tuning, model evaluation, and visualization. I am adept at leading teams, collaborating in Agile/Scrum environments, and translating complex technical results into actionable business outcomes.