Summary
Vikash Sahu is a software development engineer with about nine years of experience building scalable, production-grade systems across cloud, data and ML domains. Currently at Amazon, he architects and implements a machine learning platform that predicts crashes and latency for a mobile shopping experience used by over 800 million customers. His background spans data engineering at Red Hat—where he built ML pipelines and a distributed schema registry—to supply-chain and systems work at Intel, giving him a strong ability to translate business requirements into reliable technical solutions. Comfortable across Python, Java, SQL, Spark, Kubernetes and multiple ML frameworks, he blends hands-on coding with systems thinking and a specialization in data science. With a 3.9/4 master’s from Boston University and practical research and clinical-data internships, he brings both academic rigor and production experience to complex, high-scale problems.
9 years of coding experience