About
I’m a Computer Science and Engineering student and research-focused AI/ML developer. I’ve worked as a Research Intern at ARIES, where I built complete geospatial pipelines on ERA5 and Landsat data to study long-term climate variability and urban heat island behaviour. I also build end-to-end applications like an AI-powered rural governance assistant (FastAPI + React + Qdrant), SEO automation tools, and multilingual RAG/SQL chatbots for schemes and internships. I love taking messy real-world data, analysing it, and turning it into clean, usable tools with simple interfaces.
Work Experience
Skills
Check out my latest work
I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.
AI Product Discovery Assistant
An AI-powered ecommerce product recommendation system with full data-scraping pipeline, PostgreSQL storage, Qdrant semantic search, and Groq Llama-3.1-8B reasoning. Supports abstract user queries, multi-step intent interpretation, and product re-ranking through a custom RAG architecture. Includes a React + Tailwind storefront, product detail pages, and an interactive chat interface with real-time AI-recommended product cards.
AI-Powered Rural Governance Assistant
A bilingual (Hindi + English) AI assistant for rural governance enabling scheme lookup, Panchayat-wise data retrieval, and intelligent recommendations. Features voice input, chat history, multi-message memory, dynamic UI, and high-accuracy semantic search over government datasets using Groq LLaMA + Qdrant.
SEO Internal Link Suggestion Tool
An automated SEO interlinking system with full-domain crawling, readability-based extraction, TF-IDF + SBERT hybrid similarity scoring, and intelligent anchor text generation. Includes a Streamlit dashboard with advanced controls for real-time, explainable anchor→target recommendations and CSV export.
AI-Powered Internship Query Chatbot
A multilingual internship-query chatbot built with Flask, LangChain, and Groq LLaMA that converts natural-language questions into SQL for accurate internship retrieval. Supports Hindi-English seamless interaction, structured dataset search, and low-latency recommendations.
Multimodal RAG: Local Document & Audio Retrieval System
A fully offline multimodal RAG system supporting PDF, DOCX, TXT, images, and audio. Built using Flask with Tesseract OCR and Faster-Whisper ASR, e5-small-v2 embeddings, and FAISS for fast semantic search and grounded snippet retrieval.
Credits to Kartik Pawar for this beautiful website