Rutvij Supekar

Rutvij Supekar is a Senior Software Engineer at NVIDIA and Hewlett Packard Enterprise since July 2019, with expertise in Python, Bash, SQL, Docker, REST APIs, Kubernetes, and various machine learning frameworks such as TensorFlow and Scikit-Learn. Rutvij has developed a complete model management pipeline using MLflow, optimizing hyper-parameter tuning and reducing model training time significantly through a REST API on a Kubernetes cluster. Prior experience includes a role as a Graduate Research Assistant at Carnegie Mellon University, where contributions involved performance prediction using machine learning for Emirates and data analytics on Azure Databricks. Rutvij also interned at Digital Garage, designing hardware for a haptic feedback-enabled glove. Educational credentials include a Master of Science in Electrical and Computer Engineering from Carnegie Mellon University and a Bachelor of Engineering in Electronics Engineering from the University of Mumbai.