Summary
Anuparna Banerjee is a Staff Software Engineer with nine years of experience building robust Java-based enterprise systems and a growing focus on Machine Learning and Natural Language Processing. She has delivered production-grade solutions across finance and energy domains—implementing automated trade processing, XML validation, and large-scale text-mining features for patent and report collections. Comfortable across the stack, her toolset spans Java, Spring, Hibernate, Python, Oracle, and modern IDEs and source control workflows, and she has applied NLP principles and parallel processing to real-world similarity detection problems. A UT Austin MS graduate and former research assistant, she pairs practical engineering discipline with academic curiosity and MOOC coursework in Machine Learning. Outside of code she sketches and paints, bringing a creative perspective to problem solving and design.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Information Science/Studies, Master of Science - MS, Information Science/Studies at The University of Texas at Austin
Bachelor of Engineering - BE, Computer Engineering, Bachelor of Engineering - BE, Computer Engineering at Gujarat University
Navrachana School
English, Hindi, Bengali, Gujarati