Nishanth Nagesh Ballekere Nagesh

I’m a data professional who builds end-to-end data and software solutions—from ETL/ELT pipelines to automated testing and CI/CD. At Dassault Systèmes, I delivered scalable data and AI solutions and helped improve operational efficiency and software reliability. I recently completed an M.S. in Applied Machine Intelligence at Northeastern University.

As a Software Engineer Specialist, I built and maintained production-grade ELT pipelines on Azure Data Factory, adding data quality frameworks (schema validation, reconciliation checks, null validation, deduplication) to reduce issues reaching production by 35%. I also developed automated regression and functional test suites using TAF, Robot Framework, Selenium, and Sahi Pro, and integrated validation into Jenkins and GitLab CI/CD pipelines to improve deployment reliability.

Most recently, my Data Science internship focused on production-grade agentic AI systems using ReAct, LangChain, and LangGraph, plus AI evaluation frameworks using LLM-as-a-Judge and human validation. I enjoy translating complex workflows into dependable systems with measurable impact, like reducing document setup time by 45% and achieving 90% accuracy in intelligent form-field mapping.