Projects at Root Level AI

At Root Level AI, my work as a Founding Member centered on bridging the gap between cutting-edge AI research and resilient, production-ready infrastructure. I focused on building the “invisible foundations” for nationwide platforms.

OpenReal AI (Founding Member)

OpenReal is a sophisticated, AI-powered real estate platform built to revolutionize how property data is accessed and understood.

• Foundational Architecture: Architected the core backend infrastructure and microservices from the ground up using Python, FastAPI, and Django.
• Generative AI Integration: Built and deployed Retrieval-Augmented Generation (RAG) pipelines using LlamaIndex to power document-grounded conversational AI features.
• Scalable Deployment: Set up the production infrastructure on Kubernetes (K8s) and established automated CI/CD workflows, streamlining the release process.
• Mentorship: Led the backend development team and mentored junior developers on system architecture and clean code practices.

Nepal Niwas (Founding Member)

Nepal Niwas is a nationwide real estate platform in Nepal, designed to handle high-volume listings and complex property discovery.

• Backend Infrastructure: Architected the core backend to handle a nationwide database of property listings, user accounts, and agent lead management.
• Geospatial Engineering: Engineered complex location-based search and filtering capabilities using Django and PostgreSQL, enabling efficient map-based discovery.
• Containerized Orchestration: Managed containerized staging and production environments using Kubernetes, including zero-downtime deployments.
• Data Integrity: Designed the foundational database schemas and secure property verification workflows, optimizing for high-speed query response.

I believe that the future of software isn’t just about better models, but about better foundations. Whether it’s AI-assisted discovery or nationwide infrastructure, I’m building for the long haul.