Shreyas Kaushik

Senior Software Engineer - Applied AI at Mphasis

Bengaluru, Karnataka, India
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Summary

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Senior
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Top School
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.
code5 years of coding experience
job5 years of employment as a software developer
bookBachelor of Engineering - BE, Computer and Information Sciences, General, Bachelor of Engineering - BE, Computer and Information Sciences, General at Visvesvaraya Technological University
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Stackoverflow

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1reputation
43reached
1answer
1question
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Github Skills (32)

jdoodle8
voting-system7
psoc7
handwriting6
aws-apigateway6
relational-algebra6
amazon-web-services6
python6
amazon-cognito6
python-asyncio6
apl6
asynchronous6
rate-limiting6
fastapi6
react5

Programming languages (2)

JavaScriptPHP

Github contributions (5)

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shreyasY2k/compilor

May 2021 - Jun 2022

Online Compiler using JDoodle
Contributions:12 commits, 2 PRs, 15 pushes in 1 year 1 month
apljdoodlecompileronline-compilerrelational-algebra
Contributions:74 pushes, 1 branch in 4 years 3 months
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Shreyas Kaushik - Senior Software Engineer - Applied AI at Mphasis