Md Asaduzzaman Miah

Contributed to Rhesis, an open-source GenAI testing platform that enables cross-functional teams to design and automate quality validation for AI applications collaboratively. Designed and implemented comment and configuration services with multi-entity support and LLM-powered configuration generation, integrating AI-enabled features. Optimized backend performance by tuning database connection pools and enabling reproducible environments using Docker Compose.

• Designed and implemented new features using AWS SDK, enabling automated creation and recovery of cloud attacks on AWS services (IAM, EC2, S3, Route53, Bedrock, Lambda, Bedrock), improving system efficiency by 25% • Developed a Tag-based resource exemption feature, increasing user flexibility in cloud security testing • Improved system reliability by writing comprehensive unit and integration tests, reducing bug reports by 20%, and enhancing cloud attack recovery success rates

• Built and deployed visualization tools for research output as a Fullstack Developer, streamlining data analysis workflows for research teams by 40% • Designed and implemented a CI/CD pipeline using GitHub Actions and AWS EC2, reducing deployment time by 50% and improving system uptime

• Developed an online application system that reduced the admission office's workload by 35%, handling 5,000+ applications monthly with zero downtime • Integrated an online payment gateway, automating accounting workflows and reducing manual processing time by 40% • Built RESTful APIs for Android and iOS applications, increasing student access to data by 50% and enhancing the user experience • Provided technical support to stakeholders, resolving over 90% of technical issues within the first interaction