Summary
Kapil Nidadavolu is a Software Development Engineer II at AWS with 9 years of experience building large-scale data platforms and distributed systems that power forecasting, inventory, and automation for enterprise customers. He architects and ships end-to-end data pipelines and ingestion systems using Glue, Redshift, DynamoDB, S3, Apache Spark and Iceberg, owning projects from proof-of-concept through production while optimizing for reliability and cost. Early research roles at IISc and ICAMS yielded published work applying machine learning to materials modeling and anomaly detection, reflecting a strong foundation in applied research and advanced analytics. Comfortable in both production engineering and ML research, he combines rigorous academic training (IIT Madras, UT Austin) with hands-on cloud engineering at AWS. Based in Austin, he brings a practical focus on observability, workflow orchestration, and operational excellence to complex data problems.
9 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Madras
Master's degree, Computational Science Engineering and Mathematics, Master's degree, Computational Science Engineering and Mathematics at The University of Texas at Austin
High School, CGPA 9.8, High School, CGPA 9.8 at The Hyderabad Public School, Ramanthapur
English, Telugu, Hindi