Rajan Jha

I’m a B.Tech IT student focused on building production-ready full-stack and data-driven solutions, and I enjoy turning complex workflows into reliable, scalable systems. I bring hands-on experience across MERN development, data engineering, and Generative AI to ship features that actually save time.

In my AI + Big Data internship, I built and maintained ETL pipelines on 1M+ records using PySpark and Azure Databricks. Using Medallion Architecture, Spark SQL validation, and Delta Lake design, I reduced inconsistencies by 60% and helped enable ACID-compliant, ETL-ready querying while supporting automated internal workflows with Prompt Engineering and Generative AI.

In my Software Development Engineer internship, I developed full-stack applications with the MERN Stack and improved performance (reducing page load time by 30%). I also built an AI Trip Planner using the Google Gemini API, integrating multiple APIs and automated email notifications via an n8n workflow—reducing manual effort by 70%.

My projects reflect the same approach: end-to-end ownership, clean implementation, and practical results. I built a Retail Data Pipeline on Azure (Bronze-Silver-Gold with quality checks that cut processing time by 50% and compute cost by 40%) and an AI Code Review platform using Gemini for real-time, modular feedback—cutting manual review time for small snippets by 40%.