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 currently interning 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've published in IEEE on AI + IoT (Medibot), which was a proud milestone.

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.

I co-authored "Medibot: An AI-Enabled IoT-Based Smart Pill Dispenser with App-Based Dosage and Expiration Alerts", published in IEEE. It's a smart pill dispenser that combines IoT hardware with AI-driven alerts for dosage schedules and medication expiry — exactly the kind of real-world AI + hardware application I love working on.

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!