Tools & systems

My work spans machine learning research, local AI systems, and full-stack applications. These are the tools behind my published projects.

Local AI

SmartDocAI combines Python, LangChain, and ChromaDB for document retrieval, with Llama 3.2 running locally through Ollama. Streamlit provides the interface.

At DLRL–DRDO, I worked on an offline document QA system using PDF and DOCX ingestion, vector search, and reranking.

Data & research

At ISRO–NRSC, I used Python, NumPy, Pandas, Scikit-learn, and GIS tools to reconstruct missing TROPOMI satellite data for air-quality monitoring.

Anantha AI brings natural language queries to ARGO ocean data. Its backend uses FastAPI, PostgreSQL, and Redis, alongside ChromaDB for retrieval and LSTM models for forecasting.

Web applications

React, JavaScript, HTML, and Tailwind CSS are part of my frontend stack. Backend work includes Node.js, Express, PostgreSQL, and MySQL.

LearnityX uses React, Firebase, and the Gemini API for interview practice. My online code editor combines Monaco Editor with Node.js and Express.

Computer vision

UrbanFlow uses YOLOv8, ResNet, Flask, and Python for traffic violation detection and ambulance-aware adaptive signals.

Toolbox

Languages: Python · Java · JavaScript · C · SQL
Frontend: React · HTML · CSS · Tailwind · Bootstrap
Backend & DB: Node.js · Express · PostgreSQL · MySQL
Tools: Git · Docker · AWS · Netlify · Firebase · VS Code

Foundation

B.E. in Computer Science & Engineering, MVSR Engineering College, 2022–2026. Coursework includes data structures, operating systems, databases, networks, and machine learning.