AI-Powered Internal Chatbot with Role-Based Access Control
A secure, AI-powered internal chatbot that delivers role-specific, context-aware responses using RAG and RBAC to streamline enterprise communication.
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I build real-world AI and ML systems that move from idea to reliable production
As of 2025, I am an application-focused ML and AI engineer who ships end-to-end systems. I work across data, modeling, and production, then make the results usable for real users. I blend model depth with strong software engineering so teams move from demo to production quickly.
I build real-world AI and ML systems that move from idea to reliable production. My work spans training models for vision and speech, designing RAG pipelines, and deploying FastAPI microservices with vector search, containerization, and observability. I handle data pipelines, model evaluation, and scalable inference, then wrap everything in clean APIs or user-facing apps so product teams and customers benefit without friction. Henceforth, I focus on applied deep learning, sound engineering principles, and measurable outcomes like lower latency, higher accuracy, and faster shipping cycles.
A secure, AI-powered internal chatbot that delivers role-specific, context-aware responses using RAG and RBAC to streamline enterprise communication.
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Analyzed 2014 & 2019 Lok Sabha elections for AtliQ Media, uncovering key voter insights.
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Path finding in a 3D environment using A* Search for the optimal path
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