Turning ideas into intelligent, usable software.
I'm a 4th-year Computer Science Engineering student at VIT, specializing in Health Informatics.
I like working at the intersection of AI, software engineering, and real-world problems — from building RAG-powered applications and autonomous research agents to developing healthcare platforms and data-driven products.
Currently exploring:
AI Agents ███████████████████░░
LLMs & RAG ██████████████████░░░
Backend Systems █████████████████░░░░
Machine Learning ████████████████░░░░░
Product Building ██████████████████░░░
- 🤖 Building with LLMs, RAG, AI Agents & ML
- ⚙️ Developing full-stack applications & APIs
- 🧠 Interested in intelligent systems and applied AI
- 🏥 Exploring technology at the intersection of AI + healthcare
- 🔬 Selected for Amazon ML Summer School 2025
- 🏆 7th nationally at the Global Digital Health Summit Hackathon
- 💼 Open to AI/ML & Software Engineering opportunities
An autonomous research agent that evaluates 100+ SaaS applications.
Instead of manually researching applications one by one, the agent uses tool-based workflows to gather, structure, and synthesize information.
Built with:
Python Composio SDK Google Gemini AI Agents
Making the patient journey smarter — before and after a doctor's appointment.
A full-stack healthcare platform with dedicated patient, doctor, and admin workflows.
✨ AI-generated pre-visit symptom summaries 📅 Intelligent appointment scheduling 🔐 Role-based authentication 🚫 Double-booking prevention 📩 Automated appointment & follow-up notifications 👨⚕️ Doctor availability and leave management
Built with:
Next.js React FastAPI PostgreSQL Python LLMs
Your data, but you can actually talk to it.
An AI-powered personal finance copilot that combines transaction analytics with Retrieval-Augmented Generation to answer natural-language questions about financial data.
📊 Financial analytics 🔎 Semantic search 💬 Conversational Q&A 📁 CSV data ingestion 🧠 RAG pipeline
Built with:
Python LangChain FAISS Google Gemini Pandas Streamlit Plotly
Personalized nutrition powered by AI.
A full-stack nutrition platform that combines personalized recommendations, food impact scoring, and gamified wellness tracking.
Built with:
Next.js React FastAPI Python Tailwind CSS
Making digital communication more accessible.
An accessibility-focused application that converts text into sign-language representations using NLP and computer vision techniques.
Built with:
Python OpenCV NLP Computer Vision WLASL
Explored deep learning approaches for healthcare applications, including CNN-based analysis of IVF embryo images and medical image classification.
Built with:
Python TensorFlow CNN OpenCV
PyTorch TensorFlow Scikit-Learn Hugging Face
LangChain FAISS NLP Computer Vision RAG LLMs
| 🏅 Amazon ML Summer School 2025 | Selected among the top 5% nationally |
| 🏆 Global Digital Health Summit Hackathon | 7th nationally |
| 💼 VOIS | Data Science Internship |
| 🧠 AI Projects | RAG • AI Agents • NLP • Computer Vision |
| 💻 Software | Full-stack applications & backend APIs |
Build → Break → Learn → Build Better 🚀
Always experimenting. Always shipping.