Rishabh Sharma

👋 Hi there!

I'm a second-year engineering student deeply passionate about building practical AI systems that solve real-world problems. I love exploring generative AI, computer vision, and intelligent automation—and using them to develop tools that truly make a difference.

🛠️ What I'm Good At:

• Building AI models from scratch and fine-tuning them for specific use cases
• Creating end-to-end pipelines using Python, Java, and Google Cloud Platform
• Working with multimodal inputs: image + text + speech
• Bridging the gap between technical development and real-world deployment

🚀 What Drives Me:

What fuels me is the thrill of turning abstract ideas into tangible products. Whether it's simplifying medical workflows for healthcare professionals or enabling compliance automation for large enterprises, I strive to create solutions that are both impactful and scalable.

💼 Interesting Projects I've Built:

• AI Learning Health Engine – A multimodal system that allows users to upload disease-related images, get detailed medical insights, make notes, and simplify terms, integrating LLMs and CNNs.
• Compliance Automation Engine – A decentralized system for oil & gas and CA firms that monitors regulatory data, automates reports, and offers risk insights with real-time alerts.
• Hand Gesture Volume Control – Built with Python and OpenCV to allow users to control laptop audio using only hand movements.
• TON-based Nursing Assistant – Designed for the TON Society Hacker League, this assistant helps hospital staff with on-time queries, IoT integration, and report generation.
• Interactive Medical Video Search Tool – Matches medical prompts with YouTube videos to offer nurses and students step-by-step visual learning.