IT professional with 2.5 years of experience. Highly skilled Machine Learning Engineer with expertise in building, training, and deploying machine learning pipelines for Supervised (Regression, Classification, Forecasting) and Unsupervised Learning (Clustering, K-Means) problems. Proficient in MLOps, CI/CD, cloud-native deployments, and model monitoring. Expert in MLflow for experiment tracking, model management, and automated deployment workflows. Experienced in Docker and GitHub Actions CI/CD. Hands-on expertise with Azure Databricks, Azure ML, Azure Storage Services, Azure Databricks, and Azure Container Registry for cloud-native machine learning applications. Strong command of deep learning architectures like LSTM, CNN, and RNN, coupled with advanced techniques in feature engineering, hyperparameter tuning, and model interpretability. Skilled in Git and GitHub. Extensive experience in developing intelligent chatbots and Generative AI applications utilising Hugging Face Transformers (BERT, RoBERTa, GPT-series, T5) LLaMA, and Mistral AI and integrating vector databases like Pinecone, Azure Cosmos DB and Milvus for high-performance, context-aware retrieval systems. Proficient in leveraging LangChain for building robust, scalable, and efficient pipelines for Large Language Model (LLM) applications, including Retrieval-Augmented Generation (RAG) and Agentic AI frameworks like LangGraph. Skilled in building scalable solutions for question-answering systems, recommendation engines, and contextual retrieval systems. Experience working on Local LLM Hosting Platforms - Ollama, RAG and Agentic frameworks such as Langchain. Also worked on Model Context Protocol (MCP). Experience in Reinforcement Learning, Predictive Modelling, Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI), Natural Language Processing (NLP), Time Series Forecasting, Computer Vision (CV), MLOps and Data Science. Strong communicator with expertise in formulating and presenting end-to-end analytical solutions to diverse stakeholderndroid_app