Ashish Waghode

A Codebase Intelligence Graph that combines AST-based code analysis with transformer-based maintenance-intent classification and graph-powered code retrieval.

Machine Learning projects covering EDA, preprocessing, regression, classification, clustering, ensemble learning, PCA, hyperparameter tuning, and a KNN-based heart disease prediction app.

A multi-agent AI council that debates questions and returns a synthesized final decision.

Verilog RTL implementation of an AMBA AHB-Lite to AXI4-Lite bridge IP with FSM-based protocol conversion and functional verification.

My NeetCode.io problem submissions

A real-time full-stack chat application built with Next.js, TypeScript, Convex, and Clerk, featuring authentication, user discovery, and instant 1:1 messaging.

A Python-based trading bot for Binance Futures Testnet that places MARKET and LIMIT orders via CLI with input validation, logging, and error handling.

Built an AI-powered lead response assistant that interprets customer queries and generates safe, structured, and context-aware replies using a multi-step LLM workflow.

A Node.js and Express-based REST API with MongoDB that handles authentication, data management, and secure admin operations using JWT.

A responsive React (Vite) and Tailwind CSS frontend providing a user-friendly interface for property browsing and an admin panel for managing real estate content.

Solving DSA questions for revision and notes of it.

Real-time detection with video overlay and seamless FastAPI integration. Implemented an RL-based adaptive traffic signal timing system to reduce congestion.

Backend for OCEANLUXE VILLAS, a modern villa booking platform. Built with [Node.js/Express, etc.], this REST API handles user authentication (JWT, Google OAuth), villa listings, bookings, a persistent cart, and secure payment processing with Razorpay. Option 2 (Feature