Khaled Md Tuhidul Hossain

Leading the design and development of an AI-powered Autonomous DevOps Automation System using ML.NET, Semantic Kernel, and OpenAI to automatically detect, triage, and fix recurring code quality issues (security vulnerabilities, code smells, maintainability) across 10–12 projects. Architected event-driven, low-latency backend services and serverless functions in .NET for real-time data processing and high-throughput messaging. Built a multi-region Azure DevOps framework to deploy 30+ services (App Services, Container Apps, Functions) using Bicep for IaC, automated certificate renewals, and integrated OpenTelemetry, Sentry, and Elastic for full-stack observability.

Led PEII AI initiatives: delivered AI services for Private Equity products using Python, DelphiX, AWS SageMaker, Lambda, and Azure OpenAI services to provide advanced data insights, document summarization, and optimized report generation. Oversaw front-office design and delivery for trading and portfolio management functionalities; mentored interns and provided technical leadership. Designed automated build and CI/CD pipelines, Dockerized deployments in Kubernetes with GitHub Actions, and ensured system observability.

Trade Finance Application (Middle Office): developed .NET Core microservices, optimized SQL Server queries, and created Power BI reports to enhance performance and reduce manual effort. Security Compliance System: integrated front-end and back-end with .NET Core, Angular, SQL Server, and Docker; designed batch data synchronization using C# multi-threading and Control-M. Onboarding System: ensured conceptual completeness of onboarding and recertification workflows; led architectural oversight and feature delivery for stability and scalability. Established DevOps roadmaps and CI/CD through Azure DevOps.