Shreyas Kaushik is a Senior Software Engineer specializing in applied AI and cloud-native systems, with five years of experience building production-grade ML infrastructure and services from Bengaluru. He has repeatedly turned slow, complex systems into low-latency, scalable platforms—cutting query times from seconds to milliseconds, processing 10M+ messages daily via SQS orchestration, and improving claim accuracy by over 50%. Comfortable across the stack, he designs resilient AWS/Kubernetes architectures, FastAPI model services, and secure auth flows with Keycloak while also implementing observability for rapid incident resolution. A pragmatic owner of end-to-end product lifecycles, he champions AI-assisted developer workflows (GitHub Copilot, Claude) to boost delivery and code quality. Notably, he engineered a context-aware classification service that dynamically blends models and rules to optimize throughput and accuracy, demonstrating a rare mix of ML judgment and production engineering.
5 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Computer and Information Sciences, General, Bachelor of Engineering - BE, Computer and Information Sciences, General at Visvesvaraya Technological University
Contributions:74 pushes, 1 branch in 4 years 3 months
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Shreyas Kaushik - Senior Software Engineer - Applied AI at Mphasis