Explore Rakesh Kumar’s projects in AI, vectorless RAG, MCP integrations, Python libraries and machine learning, including Navexa.
Portfolio
Showcasing AI, ML, and data science projects that drive innovation and impact.
Tree-First PDF Indexing and Reasoning RAG Library
Production-ready Python library for indexing PDFs into hierarchical document trees and running vectorless RAG. Built for grounded, traceable answers across structured, semi-structured, and long-form content.
OpenAI-Inspired Documentation Platform
Dedicated developer documentation portal for Navexa with keyboard-first navigation, strong information architecture, and faster discoverability for APIs, guides, and workflows.
Custom MCP Orchestrator
End-to-end multi-agent ecosystem powered by multiple MCP servers and clients, where actions, reasoning, and orchestration stay synchronized to deliver guided and reliable user outcomes.
Metadata-Aware Text-to-SQL Analytics Assistant
Metadata-aware Text-to-SQL assistant that converts natural language to executable SQL using schema context and retrieval, reducing query drift and improving analytical relevance.
Kid-Friendly Python Learning Project
Hands-on teaching project crafted for kids and first-time learners, using a notebook-first learning path that builds practical Python confidence from basics to applied coding.
Intelligent Web Scraping with LLMs
LLM-powered web scraping toolkit that combines browser automation and intelligent extraction to turn noisy web pages into structured, analysis-ready datasets.
Rakesh Kumar on Medium