Summary
Jugu Sundar is an Advisory Software Engineer with 11 years of experience building full-stack, cloud-first web applications and data pipelines, currently based in San Jose. He blends Java/J2EE and Python expertise with modern front-end stacks (React, HTML/CSS/JS) and has led large-scale migrations to hybrid cloud Spark and REST-based architectures to improve maintainability and performance. His work at IBM modernized financial reporting and globalized product content via AI-augmented microservices and translation workflows, delivering multimillion-dollar savings and significant time reductions through automation. Previously he designed workforce scheduling and optimization algorithms for large retail customers, achieving measurable labor-cost and productivity gains. With a CS master’s from Stony Brook and a background bridging biotechnology and software, he brings a systems-thinking approach to workflow optimization, NLP-enabled tooling, and data-driven dashboards that surface actionable insights.
11 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Madras
Master's degree Computer Science, Master's degree Computer Science at Stony Brook University
English, Hindi