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
Associate Cloud Architect
Amazon Web Services
Aug 2024 - Present (1 year 6 months)
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%.
Cloud Architect Intern
Amazon Web Services
Mar 2024 - Jul 2024 (4 months)
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.
Cloud Architect Intern
Amazon Web Services
May 2023 - Jul 2023 (2 months)
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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