Shihab Rahman is a Technical Architect with 11+ years of experience designing and operating high-scale, cloud-native data platforms, primarily on AWS using serverless and microservices architectures. He builds end-to-end pipelines, data models and warehousing solutions that enable reliable integration, transformation, and analytics while establishing cross-team CI/CD and Agile delivery. Notable work includes an AI-driven ECG disease prediction product, a proprietary conversational AI framework (HAL™) that integrates with major providers, a production recommender system for ad serving, and leading a migration from serverless to Kubernetes. He brings a practical polyglot engineering background (Java, Scala, Python, Neo4j, Spark, Hadoop, Redshift) and has advanced through technical leadership roles at Cefalo to Technical Architect. Based in Dhaka, he also creates technical content at TechTong, blending engineering depth with clear communication.
8 years of coding experience
11 years of employment as a software developer
Bachelor's Degree, Computer Science and Engineering, CGPA-3.29, Bachelor's Degree, Computer Science and Engineering, CGPA-3.29 at University of Dhaka
Codes for the first deep dive series on Solid Principles
Contributions:1 review, 14 commits, 5 PRs in 1 month
principlessolid-principlessoliddive
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