Total 7 years of experience with 5 years of experience in data science in diverse industries, driven by curiosity and a strong belief in self-learning. - Experience in NLP and predictive modeling at Enterprise scale serving millions of users. - Demand and sales forecasting (Local/Global Forecasting), time-series modelling. - Experience in building in Scalable ML solutions for E-commerce, Retail, AI-Ops, and Automotive sectors. - Experience in developing Generative AI applications (RAG, summarization, chatbots) using both open-source and commercial LLMs. - Enterprise level Generative AI Solutions - Focused on leveraging AI to solve complex business problems and drive innovation. Skills: Data science, Machine learning, Deep Learning, MLOps, Generative AI, Agents, LLMs, Vector Databases, Time Series Modeling, NLP, Clustering, Fine-tuning Tools: Python, PostgreSQL, Oracle, MongoDB, FastAPI, SQLAlchemy, Azure, Azure Devops, Docker, Docker-Compose, Kubernetes, MLfLow, Airflow, NumPy, Pandas, Scikit-learn, Transformers, Hugging Face, Pyspark, RabbitMQ, Langchain, Llamaindex, Langgraph, Azure Phoenix, Milvus, TensorFlow, Keras, NLTL, spaCy