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-Powered Satellite Analytics Platform
An AI-powered geospatial intelligence platform that enables satellite data analysis through natural language. Built on Google Earth Engine, the system translates user queries into validated geospatial workflows, performs satellite imagery processing, and returns interactive visualizations with automated interpretations.
Mobile Traffic Prediction & Time-Series Forecasting
A time-series forecasting system for predicting mobile network traffic patterns using historical usage data. Implemented data preprocessing, feature extraction, and machine learning models to capture temporal trends and forecast future demand. Demonstrates practical applications in telecom optimization, load balancing, and smart infrastructure planning.
LinkedIn Job Automation & Resume Builder
An AI-powered job application automation system built with n8n that streamlines the entire job search workflow. The platform automatically discovers relevant job opportunities, analyzes job descriptions, generates ATS-friendly tailored resumes, creates personalized cover letters, and automates application workflows. Designed to reduce repetitive manual effort and help job seekers apply to more relevant opportunities with customized application materials.
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