About

Vaishnavi Pammi is a skilled Machine Learning Operations (MLOps) Engineer with 3 years of experience in the field. She is proficient in Python, Swift, Docker, Kubernetes, Jenkins, and ML model deployment. Vaishnavi graduated in 2018 with a Bachelor of Technology focused in Computer Science from the National Institute of Technology Rourkela. Currently working as a Software Engineer at Ford, Vaishnavi is a part of a team that creates and deploys ML pipelines at high speed, scale, and ease. She has developed features that facilitate one-click deployment with Python as the development language and has also developed front-end code for a Stylegan(GANS model) application and deployed it into production on a Kubernetes cluster. Vaishnavi has used Docker to containerize Machine Learning models and FastAPI, Flask applications. She has also set up CI/CD pipelines for different applications using Jenkins and written unit and integration tests as a part of Test Driven Development using the Pytest framework in Python. In addition, Vaishnavi is familiar with Istio service mesh which is used to release canary, shadow model deployments. She has used Git for version control. Her education history includes a Bachelor of Technology in Computer Science from the National Institute of Technology Rourkela. Vaishnavi's tech stack includes ML, Software Engineering, Python, Kubernetes, Docker, Jenkins, CI/CD, testing, Flask, integration, and Frontend. With a relevant experience of 4.87 years, Vaishnavi is a dedicated and skilled MLOps Engineer who is passionate about creating and deploying ML pipelines at scale.