Shubham Gade

About Shubham Gade

AI & ML Engineer specialized in developing and scaling end to end AI applications to…

Experience

1. Ai & Machine Learning Ops Engineer

   EnerSys

   Apr 2024 — Present

   Architected and deployed an MLOps framework for EV charging profile prediction, leveraging Azure ML for data preprocessing, model training, evaluation, and deployed endpoints to visualize real-time model performance using stream-lit.Constructed and integrated a model performance monitoring system to track post-training score drift, trigger alerts via Microsoft Teams webhooks, and enable fallback-based model selection and deployment in case of performance degradation.Built an ETL pipeline to extract JSON-formatted EV charging session data from Azure Data Lake, transforming and loading it into a PostgreSQL database to supports advanced model training, feature engineering, and the MLOps lifecycle for EV charging profile prediction.Designed, developed, and deployed RESTful data APIs using Python and Flask, managing the full lifecycle from development to production and hosting the services on Azure Web Apps to ensure high availability, scalability, and secure real-time & historical data delivery to customer/client.Performed Web-scraping on Ontario Energy Demand using Etree module to parse Energy demand parameters, and store results in Azure blob container as parquet files- reducing storage cost, supporting Global Adjustment forecasting models and saving $65k annually by eliminating a third party api subscription