A H Khan (Ahmed Hussain Khan) — Founder & CEO of AIxRobo.AI and robotics researcher building next‑generation AI-driven humanoids, autonomous drones, and intelligent disaster‑response systems in Bangalore, India. AI Research Expert • Machine Learning Engineer • Full‑Stack Developer • Technology Entrepreneur.
Hi, I'm A H Khan (Ahmed Hussain Khan) (rA9) — a tech developer blending AI and robotics to build systems that make a real-world impact. I'm also the founder of AIxRobo, where we're building humanoid robots that can see, think, and act intelligently.
With over 2 years of hands-on experience, I've been building and experimenting with intelligent products across AI models, full-stack development (React, JavaScript, Python, Kotlin), Android apps, and machine learning systems. My goal is to bring all of these together to power the "brains" behind our robots.
At AIxRobo, I'm focused on projects like AIxRescue, where we design AI-powered robots and tools for disaster response and real-world problem solving.
Researcher in Computer Vision, Deep Learning, Neural Networks, Foundation Models, Natural Language Processing, and AI Model Deployment. Specializing in developing intelligent systems for robotics applications.
Intrested in Humanoid Robotics, Motion Planning, ROS (Robot Operating System), Embedded Systems, Sensor Integration, and Autonomous Navigation. Building next-gen physical intelligence systems.
Comprehensive full-stack development expertise in React.js, Next.js, Android (Kotlin), Python, Node.js, and cloud technologies. Leading AIxRobo's technical innovation and product development.
Leading a cutting-edge AI robotics company focused on developing humanoid robots and disaster management systems. Spearheading research in physical intelligence, autonomous robotics, and AI-powered emergency response technologies.
Developing advanced machine learning algorithms for robotics applications, computer vision systems for autonomous navigation, and neural network architectures for real-time decision making in robotic systems.
Building comprehensive AI-powered web applications, mobile apps, and embedded systems. Expertise in React.js, Python, Android development, and deploying machine learning models in production environments.
Bachelor's in Business Administration
Focus: Artificial Intelligence, Machine Learning, Robotics Systems, Computer Vision, Embeded Systems
Interested in collaborating on cutting-edge robotics or discussing AI research? Let's connect!
Visual showcase of AI and robotics projects by A H Khan
Explore cutting-edge AI research projects and robotics innovations developed by A H Khan at AIxRobo. These projects showcase advanced machine learning, computer vision, and autonomous robotics technologies.
A revolutionary modular humanoid robot platform designed by A H Khan for automation, assistance, and human-robot interaction. Features onboard AI perception, edge inference capabilities, and advanced motion planning algorithms for real-world deployment.
An innovative autonomous disaster management platform combining aerial drones and ground robots for search & rescue operations. Developed by A H Khan with real-time telemetry, AI-powered threat assessment, and resource allocation optimization for emergency response teams.
Next-generation autonomous drone technology with advanced AI navigation, obstacle avoidance, and mission planning capabilities. A H Khan's innovation in aerial robotics combining computer vision, sensor fusion, and machine learning for industrial and research applications.
A comprehensive research platform developed by A H Khan for experimenting with advanced neural network architectures, deep learning algorithms, and AI model optimization techniques. Focusing on robotics applications and real-time inference systems.
Interested in AI research collaboration, robotics partnerships, or discussing innovative technology solutions? Connect with A H Khan for potential opportunities in artificial intelligence, machine learning, and robotics development.
ahkhan.nafrok@gmail.com
Bangalore, Karnataka, India
Within 24-48 hours