Working across three frontier domains: Artificial Intelligence, Robotics, and Quantum Computing — each with its own pipeline architecture, bridging theory to real-world deployment at madhavvv.in.
I'm Madhav — a researcher and engineer operating across three frontier domains: Artificial Intelligence, Robotics, and Quantum Computing. I bridge cutting-edge research with real-world deployment.
Each domain has its own pipeline — from agentic RAG for AI, to SLAM navigation for robotics, to variational circuits for quantum. I publish research, file patents, and build production systems at the intersection of all three.
Operating across three frontier domains — each with its own pipeline architecture, toolchain, and problem space.
An automated stock tracking system that monitors real-time prices and sends alerts via a Discord bot.
A predictive model for heart disease detection using Logistic Regression and Decision Trees.
An AI model using Convolutional Neural Networks (CNNs) trained on CT scan images.
Early diabetes prediction via clinical parameters. Evaluated multiple algorithms; LightGBM achieved peak performance.
A model to classify loyal vs. disloyal airline passengers using K-Means and Hierarchical clustering.
Real-time hand tracking system to control games like Subway Surfers using computer vision.
An AI-based crop and fertilizer recommendation system, deployed as a web app using Flask.
Configured dedicated Ubuntu Server for AI/ML projects and personal cloud storage via Nextcloud.
An AI-powered system that enables gesture-based control of IoT devices via Alexa API integration.
A self-replying AI chatbot for Discord using Meta’s LLaMA 3 for dynamic, context-aware interactions.
An email spam detector using NLP and Naïve Bayes to accurately differentiate spam from legitimate emails.
A comprehensive list of 22 professional credentials across AI research, cloud architecture, and industry simulations.
Protecting and sharing breakthrough innovations in AI, machine learning, and intelligent systems.
Contributing to the advancement of AI/ML through peer-reviewed research and academic publications.
Building agentic AI systems, RAG pipelines, and LLM-powered products for clients across healthcare, fintech, legal, and SaaS sectors.
Completed a 30-day intensive Winter Internship in Python, Data Science, and Machine Learning under the TechKriti'25 programme at IIT Kanpur.
A clear 6–8 week journey with full transparency every step of the way.
Ready to build something intelligent and impactful? Send a message and let's turn your idea into a production-ready system.