Koushik Das
@koushikdas2
Cloud architect and ML engineer driving production-grade GenAI and scalable MLOps solutions.
What I'm looking for
I am a cloud architect and machine learning engineer with hands-on experience designing production-grade AWS architectures, MLOps pipelines, and GenAI solutions that reduce manual effort and improve system reliability. I have delivered end-to-end systems—spanning discovery, containerization, IaC, CI/CD, and ML deployment—while collaborating with cross-functional teams to translate ambiguous requirements into production-ready designs.
My work includes architecting an agentic GenAI re-platforming automation that cut manual discovery and containerization effort by 70%, building large-scale sentiment-analysis ML pipelines with 30x throughput improvements, and creating observability tooling for Redshift to reduce investigation time by ~30–40%. I prioritize scalable, secure, and efficient systems engineering and continuous improvement across ML lifecycle and cloud infrastructure.
Experience
Work history, roles, and key accomplishments
Designed cloud architectures and HLD/LLD for enterprise migrations to AWS, led CI/CD and IaC deployments, and implemented a GenAI-driven re-platforming automation that reduced manual discovery and containerization effort by 70%.
Designed and deployed a production-grade ML pipeline for large-scale sentiment analysis using PySpark and SageMaker, improving end-to-end processing throughput by 30x and monitoring model quality with SageMaker Model Monitor.
Built a near real-time monitoring tool for Amazon Redshift, designing ingestion pipelines and dashboards that reduced investigation time for performance issues by ~30–40%.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Silchar
Bachelor of Technology, Electronics and Communication Engineering
Grade: 8.81 CGPA
Completed a Bachelor of Technology in Electronics and Communication Engineering with a CGPA of 8.81.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Skills
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