Nitish Kumar

I am a highly skilled MLOps Engineer with over 3.2 years of experience in deploying, managing, and optimizing machine learning models in production environments. My expertise lies in implementing end-to-end machine learning pipelines, automating model training, testing, and deployment, ensuring scalability and reproducibility. I have a strong understanding of MLOps best practices and have successfully collaborated with cross-functional teams to streamline data workflows and machine learning operations.

Throughout my career, I have built reliable and scalable applications, including transaction management and risk assessment systems. My experience includes utilizing cloud platforms such as AWS, GCP, and Azure to design scalable ML infrastructure and maintain CI/CD workflows. I have a proven track record of optimizing data pipelines for efficient data flow and access across banking services, ensuring real-time performance and security.

Currently, I am working with Yash Technologies on the John Deere Warranty System, where I lead the automation of infrastructure deployment and manage cloud resources. I have successfully implemented MLflow for model tracking and established a model version control system to ensure easy management of ML models. My goal is to leverage my skills and experience to contribute to innovative projects that drive business success.