Building AI applications from data to deployment.
I'm an undergraduate specializing in Artificial Intelligence & Machine Learning with a strong interest in building software powered by modern AI.
Rather than working only on models, I enjoy creating complete productsβtraining machine learning models, developing APIs, designing responsive interfaces, deploying cloud applications, and integrating LLMs into real-world workflows.
I like projects where AI isn't just a demo, but a feature people can actually use.
- Agentic AI
- LangGraph
- Advanced RAG pipelines
- Docker & Containers
- Cloud-native AI deployment
- Multi-agent systems
- Production-ready LLM applications
- π₯ Innovation Excellence Award 2025 for developing an AI-powered House Price Prediction Platform
- π€ Built multiple end-to-end AI applications using Machine Learning and LLMs
- π Smart India Hackathon participant
- π» Interested in AI Engineering, Machine Learning, and Full-Stack Development
- Machine Learning
- XGBoost
- Scikit-learn
- Pandas
- NumPy
- Matplotlib
- NLP
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- LangChain
- Hugging Face
- Hugging Face Transformers
- Flan-T5
- Gemini API
- Streamlit
- Firestore
- Neon Serverless PostgreSQL
- Render
- Zerops
- Zoho Catalyst
- Docker Containers
- Github Actions
- CI/CD Pipelines
A production-ready full-stack machine learning platform that predicts residential property prices across Tamil Nadu.
Built With
React β’ FastAPI β’ PostgreSQL β’ Neon β’ Render β’ Botpress β’ Machine Learning
- Predicts residential property prices
- District & Taluk analytics
- AI virtual assistant
- Open-source model hosted on Hugging Face
- Fully deployed frontend, backend and database
An AI assistant for exploring ARGO oceanographic datasets using natural language.
Built With
Streamlit β’ Css β’ Rag β’ Chroma β’ Llms β’ Langchain β’ PostgreSQL β’ Xarray β’ NetCDF β’ Plotly β’ Leaflet β’ Hugging Face Flan-T5 Base
Highlights
- Retrieval-Augmented Generation
- Semantic Search
- Interactive Maps
- Time-Series Analytics
- Streamlit Dashboard
A document understanding platform capable of extracting structured information from multiple document types.
Built With
EasyOCR β’ Streamlit β’ RegEx
Capabilities
- OCR
- Document Classification
- Entity Extraction
- Sensitive Data Masking
- Analytics Dashboard
- CSV Export
I'm continuously improving my understanding of
- Data Structures & Algorithms
- System Design
- Backend Engineering
- Distributed AI Systems
- Modern Cloud Infrastructure
- Production ML
- NPTEL β Introduction to Machine Learning
- Innovation Excellence Award 2025
- Smart India Hackathon Participant
Build useful software. Keep learning. Let curiosity do the rest.

