Simran Mehta is a Data Scientist and GenAI Developer with close to four years of experience building production-grade AI systems across retail, manufacturing, and enterprise domains. She works with Nagarro’s Big Data and AI team, where she designs and deploys scalable machine learning and GenAI solutions for global clients.

Her work includes time-series forecasting accelerators, LLM-powered recommendation systems, optimization platforms, and pricing intelligence solutions. In recent projects, she has focused on designing task-driven systems that combine planning, tool execution, and persistent state — with an emphasis on reliability beyond prototypes.

Simran is particularly interested in building AI workflows that can handle real-world constraints such as partial failures, asynchronous execution, and evolving data. She actively contributes to system design discussions and mentors junior data scientists, with a strong focus on turning experimental ideas into robust, maintainable systems.