I am an AI Integration Engineer specializing in building GenAI microservices, RAG pipelines, and vector search behind robust REST APIs. I have designed prompt templates and evaluation loops, containerized services, and deployed them to Kubernetes with Helm and CI/CD, significantly reducing release steps and ensuring strong Azure to OCI delivery with Terraform and secure secrets. I’m comfortable working across Python and .NET technologies and SQL/NoSQL stores, with a focus on reliability and user experience through caching, async jobs, and error handling.
My experience spans backend development with Flask and React integration, efficient microservice deployment, and infrastructure as code using Terraform. I’ve worked extensively with Azure DevOps pipelines, Kubernetes autoscaling, and multi-cloud setups, collaborating closely with QA, UX, and business teams to ship production features on sprint cadence. Recently, I added MCP capabilities to expose tools and data to LLMs in a governed way, continually focusing on scalable, secure, and performant AI-powered software solutions.
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