Nitin Shukla

Deployed 25+ GenAI chatbots on Copilot Studio and Azure OpenAI, used by 500+ internal users, designing optimized LLM prompt workflows and contextual grounding to improve response accuracy and reduce irrelevant outputs. Built AI agents using RAG architecture to retrieve enterprise knowledge from internal data sources, reducing hallucinated responses, and improving reliability of internal tools. Managed the end-to-end AI model lifecycle including validation, deployment, monitoring, and secure access control using authentication and authorization layers. Automated business workflows using Python, Power Automate, and Power Apps, integrating Azure OpenAI APIs and reducing manual review effort by 30%. Migrated 20,000+ Confluence pages across multiple spaces to SharePoint using a custom Python automation script while preserving page layouts and handling cross-platform authentication.

Built and maintained scalable data pipelines using Azure Data Factory, Databricks, PySpark, and Synapse Analytics, supporting reliable data ingestion and transformation for analytics and downstream applications. Processed and transformed large datasets across multiple zones, converting raw inputs into clean, structured, analysis-ready data, improving pipeline efficiency by ~20%. Extracted 5,000+ records from BMW China website using Selenium, Python, Beautiful Soup for downstream analytics.