A Guide to Implementing MLOps: From Data to Operations

Prafful Mishra is a seasoned engineer with extensive experience in operationalizing machine learning across organizations of varying scales. His expertise includes Site Reliability & Platform Engineering, and artificial intelligence, with a particular focus on MLOps. Prafful is passionate about emerging technologies such as quantum computing, federated learning, and explainable AI. He actively shares his insights through writing and speaking engagements, aiming to demystify complex concepts and foster innovation in the tech community. A strong advocate for open-source contributions, Prafful supports the democratization of technology, believing that collaborative development leads to more accessible and robust solutions.