With a wealth of over 14 years of experience, I am a seasoned AI/ML Engineer with a solid foundation in DevOps and Cloud Architecture. My core competency lies in deploying and managing machine learning models in production environments, utilizing tools such as Keras, TensorFlow, and AWS SageMaker. I am proficient in MLOps, leveraging technologies like DVC, feature stores, MLflow, model registries, Azure AI Studio, and Vertex AI to ensure efficient model lifecycle management.My expertise extends to large language models (LLMs). I employ the NLTK, Langchain, Transformers, and Hugging Face libraries to orchestrate and fine-tune models like GPT, T5, and BERT, driving innovative AI solutions.In addition to my AI/ML capabilities, I have a strong background in DevOps, showcasing proficiency in Azure DevOps, Jenkins, Docker, Kubernetes, Ansible, and Terraform. I specialize in architecting, implementing, and optimizing CI/CD pipelines, focusing on Infrastructure as Code (IaC) through Ansible Tower orchestration and Terraform Cloud/Enterprise, which enhances infrastructure automation and aligns technology solutions with business goals.As an AWS-certified Solution Architect, I am adept at designing and implementing intricate cloud architectures that prioritize scalability, security, and operational efficiency. My experience in virtualization, automation, and continuous integration further bolsters my ability to deliver effective cloud solutions.Throughout my career, I have successfully collaborated with cross-functional teams to translate business needs into technical solutions, driving industry best practices and fostering innovation.Skills:ML Ops - AWS Sagemaker, DVC , Feature Store, mlflow, model registry, Azure AI Studio , Vertex AI.LLM Orchestration: NLTK, Langchain, Transformers, huggingface.Gen AI : GPT, T5 and BERT