I build practical software ideas — from AI/ML experiments and LLM APIs
to backend systems, cloud deployments, and working project demos.
Learning by building, breaking, fixing, and shipping.
I'm a final-year Integrated M.Tech CSE student interested in building useful, real-world software systems.
My work usually sits around AI applications, backend development, cloud deployment, and data-driven systems.
I enjoy taking rough ideas and turning them into working prototypes with clean documentation and practical demos.
I have worked with AWS services through backend/API deployment, authentication, storage, container registry, access management, and cloud-based project demos.
View AWS / Cloud Experience Letter
Currently learning the basics of LLMOps, Kubernetes, Prometheus, and Grafana to better understand deployment, monitoring, and production-ready AI systems.
I’m starting to explore open-source work — learning how real projects are built, how contributors collaborate, and how to make meaningful contributions step by step.


