Summary
Rakshit Lakshminarayan is a software engineer with 8 years of experience building and modernizing high-throughput, production systems across finance and cloud platforms. He drove an 80% processing speedup in Deutsche Bank’s investment processing by introducing caching, asynchronous patterns, and a move to Quarkus and messaging frameworks like Kafka and IBM MQ. At AWS he architected a globally deployable, event-driven notification system for SageMaker, automating cross-region deployments and security controls with CDK to reduce support load. He combines full-stack product delivery (Angular/Spring Boot) with data pipeline design, real-time dashboards, and applied ML tools—work reflected in campus-scale apps and accessibility-focused ML deployments. Currently deepening his expertise in complex data systems and machine learning through an MS at the University of Chicago while contributing to real-time healthcare scheduling research. Pragmatic and metrics-driven, he favors lightweight, event-driven architectures that cut costs and operational toil.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Manipal Institute of Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Chicago