I'm Ramya Shree R, a final-year AI & ML engineering student from Bengaluru, and I genuinely love building things that are powered by intelligence whether that's an LLM that coaches you through job applications, a baby monitor that learns sleep patterns, or an AI that interviews you and gives real feedback.

I'm have recently completed my internship as an AI Product Developer at Rooman Technologies, where I work on building enterprise-grade intelligent applications using Django, React, and Docker and I get to wire in AI automation workflows into real ERP systems. It's the kind of work where you see your code actually doing something meaningful in production, which is exciting.

My academic home is Cambridge Institute of Technology (CGPA: 8.7), where I've been deep in the world of deep learning, NLP, computer vision, and more recently Generative AI. I have participated in multiple innovation and technology events and received recognition for my projects and ideas. I won the Best Project Award at the Visionary-X 2025 State Level Project Exhibition for my smart cradle project. I was also a winner in the Cyber Security Grand Challenge National Level MVP Stage, where I developed an AI-powered NFC security solution for wearables. In addition, i secured 2nd place in an inter-college event for designing an insightful real-world data dashboard.

When it comes to GenAI, I'm most excited about RAG pipelines, agentic systems, and making LLMs do real work beyond just chatting. I love the intersection of backend engineering and AI building the plumbing that makes smart systems actually run.

I'm most comfortable with Python and have been building with it across the full AI/ML stack — from training models with PyTorch and TensorFlow, to deploying backends with Flask and Django, to wiring up LLMs with OpenAI APIs and building semantic search with embedding models.

On the GenAI side, I've worked hands-on with prompt engineering, RAG, embedding pipelines, and am actively exploring agentic AI patterns. For data work, I reach for Pandas, NumPy, and Power BI for visualization. I containerize with Docker and manage everything through Git.

💡 All stats update live and always reflect my latest GitHub activity.

If you're building something in the GenAI or AI/ML space and want to collaborate, or just want to chat about AIML, RAG, or agentic systems — I'm always up for a conversation!