Dynamic AI/ML Engineer with over 9 years of experience in cloud computing, DevOps, and MLOps, specializing in the development of scalable machine learning systems and the optimization of CI/CD pipelines for production-grade AI deployments. Currently contributing expertise at Tech Mahindra by bridging the gap between advanced machine learning models and robust cloud-native solutions. Proficient in leveraging GCP, Azure, Kubernetes, Terraform, and Generative AI frameworks to drive innovation and efficiency in AI initiatives. Committed to delivering high-quality results that enhance operational performance and support strategic business objectives.
MLOps & AI: MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, SageMaker, Hugging Face, LangChain, Generative AI, RAG, ChromaDB, Pinecone