sameer ray

I am an AI-native builder with over 2 years of experience deploying production-ready systems that prioritize day-to-production efficiency. I focus on productizing operational playbooks into scalable AI solutions using RAG architecture and vector databases.

In my current role as an MIS Analyst I built trust management systems with end-to-end audit trails and developed automated Python pipelines for LLM evaluation, cutting manual QA time by 40%. I deploy MCP servers and CI/CD workflows to optimize Django-based architectures and improve performance in revenue-generating projects.

I extract core logic for AI/ML model integration and create Streamlit and Next.js front-ends to visualize performance metrics, documenting edge cases in structured JSON/YAML. I work across agentic frameworks, evaluation tooling, and DevOps to accelerate development cycles.

I bring a hands-on blend of development, data-quality, and deployment expertise, committed to shipping reliable, auditable AI systems that scale. I seek roles where I can continue improving automation, observability, and production readiness of AI products.