I am a 2nd Year B.Tech (AI) Student, MERN Full Stack Developer, and LLM Trainer with a passion for bridging the gap between complex engineering and intuitive design. My core expertise lies in building AI-integrated full-stack applications, where I combine robust backend logic with user-centric frontend designs (Figma) to deliver scalable, real-world solutions.
Beyond code, I am an active Open Source Contributor and community leader. I leverage my strong presentation and management skills to host technical workshops and organize university events, ensuring projects run as smoothly as they function.
Role: Full Stack Developer & Prompt Engineer
Duration: Nov 2025
Domain: Healthcare | Artificial Intelligence | Patient Triage
- Designed and implemented an AI-powered triage system using Google Gemini API to provide context-aware medical guidance and symptom analysis.
- Built a real-time health timeline to maintain a unified longitudinal record of patient history.
- Developed precision specialist routing algorithms to connect patients with the correct medical professionals based on AI analysis.
- Integrated an SOS safety feature with live location sharing for immediate emergency response.
- Engineered a responsive, user-centric interface to act as an intelligent middle layer between patients and doctors.
- Frontend: React (Vite), TypeScript, Tailwind CSS
- AI & State: Google Gemini API, Context API, Prompt Engineering
- Tools: ESLint, Git
- Deployment: Vercel
- Simplifies complex symptom understanding for users through intelligent AI conversation.
- Streamlines the discovery process for medical specialists, reducing patient wait times.
- Enhances patient safety through immediate emergency response integration.
Role: Full Stack Developer
Duration: Dec 2025
Domain: SaaS | Data Analytics | Form Management
- Engineered a dynamic form builder application that allows users to design and customize data collection forms from scratch.
- Integrated a comprehensive analytics dashboard to visualize response data and user engagement metrics.
- Implemented structured data tracking, enabling efficient storage and retrieval of form submissions.
- Designed a visual interface for managing custom forms, significantly reducing the complexity of data collection campaigns.
- Optimized database schemas to handle dynamic field generation and varying data structures.
- Frontend: React.js
- Backend: Node.js, Express.js
- Database: MongoDB
- Architecture: MERN Stack
- Streamlines the process of creating and deploying custom forms for data collection.
- Empowers users with actionable insights through real-time visual analytics.
- Enhances data organization by structuring unstructured form inputs effectively.