A curated collection of my work spanning full-stack development, artificial intelligence, and specialized engineering tools.
An enterprise Natural-Language-to-SQL RAG platform featuring DDL column-value grounding, strict dual-layer RBAC, and role-partitioned Qdrant vector collections for multi-tenant schema isolation.
An on-premises intelligent document processing & field extraction platform processing 100+ page specifications at 2 pages/min on CPU using PaddleOCR, Celery, FastAPI, and vLLM with confidence fusion.
A modern, full-stack automation bridge that monitors Instagram interactions to trigger automated reel capture and AI categorization. Features a DM-based signup workflow and a premium React dashboard for live monitoring.
Inspired by the 1930 helpline project, I developed an automated stock analysis and prediction model and paper trading platform. Uses historical data to provide insights and forecast market trends, helping to automate investment decisions.
An advanced generative AI platform for creating and managing intelligent agents. Includes a sophisticated prompt processor that enables agents to handle real-world tasks. It's like having AI on your computer, basically executing Python code autonomously.creates self agents and pre build prompts agents with custom logic of MCP for GEMINI at that time this is just a concepts.
ZenLight is a browser extension that brings AI to your fingertips — select any text on any webpage to instantly get explanations, translations, and visual context without leaving the page. Highlight a question and ZenLight automatically finds and marks the answer on the page. Plus, a distraction-free Spotlight Mode and YouTube productivity tools help you stay focused and in the zone.
A C program built during college that visualizes CPU scheduling algorithms — FCFS, SJF, SRTN, Priority (preemptive & non-preemptive), and Round Robin — using the graphics.h library. Enter your processes and instantly see a Gantt chart along with turnaround and waiting time stats. Note: Round Robin was implemented based on college-level understanding and may not cover all edge cases perfectly.
A machine learning project built at the Rajasthan Police Hackathon to detect fake complaints on the 1930 helpline. Uses scikit-learn to analyze and classify police complaint data. Not fully completed, but a great hands-on introduction to ML concepts.
A comprehensive management system for public libraries that streamlines book lending and user registrations. Dropped idea after hackathon.
Face recognition system from fetching facebook prefetched profile photo from facebook id.
An interactive game where players guess a randomly generated number with helpful hints and scoring. Build when learning JavaScript basics.
Efficient task management application with persistent storage, categories, and priority levels. Build when learning Web Development basics.
