Summary
Sushil Khairnar is a seasoned software engineer with 8 years of experience building data-driven, cloud-native systems and full-stack applications, currently working as a Software Development Engineer 2 at Audible. He brings strong proficiency in Python and Java and a proven track record designing ETL, real-time feature pipelines, and monitoring systems using AWS services such as Lambda, Redshift, Athena, and Quicksight. His background spans financial market prediction engines, large-scale Hadoop data ingestion, and a graduate research role focused on quantitative risk for unmanned aerial systems, reflecting both applied research and production engineering strengths. Comfortable across backend, data, and web technologies (Spring, Flask, SQL, HBase), he’s delivered latency reductions and config-driven platforms that simplify operational complexity. A high-achieving student—MS in Computer Science from Virginia Tech (3.9 GPA) and a top-ranked bachelor’s degree—he combines rigorous academic training with hands-on impact in enterprise and research contexts.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, 3.9/4, Master's degree, Computer Science, 3.9/4 at Virginia Tech
Bachelor's degree, Electronics and Telecommunications Engineering, 9.6/10, Bachelor's degree, Electronics and Telecommunications Engineering, 9.6/10 at Pune Institute of Computer Technology
English, Hindi, Marathi