Bhavani T

I am an Sr AI/ML Engineer Engineer with 10+ years of experience designing, building, and deploying production-grade machine learning and AI systems across enterprise and cloud environments.My expertise spans the full AI lifecycle—from data ingestion and feature engineering to model training, deployment, monitoring, and retraining. I have hands-on experience building scalable ML systems using Python, integrating models via REST APIs, and deploying solutions using Docker, Kubernetes, and CI/CD pipelines.I have worked extensively with machine learning, deep learning, NLP, and LLM-based solutions, including Retrieval-Augmented Generation (RAG), agent-based AI workflows, and cloud-native ML platforms such as AWS SageMaker, Azure AI, and GCP Vertex AI. I am comfortable working with structured and unstructured data, SQL and NoSQL databases, and distributed data processing frameworks.I enjoy collaborating with cross-functional teams, translating business requirements into reliable AI solutions, and ensuring systems meet governance, security, and operational standards. My focus is always on building maintainable, scalable, and trustworthy AI systems that deliver measurable business impact.Skills:AI/ML Engineering · Python · Machine Learning · Deep Learning · LLMs · RAG · MLOps · Cloud AI · Docker · Kubernetes · REST APIs · Databricks · MLflow.