Rahul Dani is a Software Engineer II with eight years of experience building cloud-native and backend systems across tech and finance, currently solving industry-scale problems at Microsoft’s Industry Solutions Engineering organization. He has a strong track record shipping end-to-end features at Amazon Autos and building resilient payment-reporting systems at JPMorgan Chase, leveraging Python, Java, and AWS/Azure platforms. Rahul combines practical ML experience from Georgia Tech and internship work in cybersecurity with production-grade API and CI/CD practices developed at American Express. He’s comfortable across cloud, edge, and data layers—using GitOps, Grafana, and modern observability—to help customers operate reliably at scale. A Carnegie Mellon MBA graduate now based in New York, he pairs technical depth with business insight to translate complex requirements into deployable solutions. Outside core roles, he’s demonstrated curiosity by applying ML to security problems and teaching machine-learning-for-trading, signaling a blend of engineering rigor and domain curiosity.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
High School Diploma, High School Diploma at Land O' Lakes High School
Master of Business Administration - MBA, Master of Business Administration - MBA at Carnegie Mellon University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Florida
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