I am an avid reader and builder who develops systems at the intersection of computing, animation, and education to drive real-world impact. From an early age, science, nature, and machines became my core interests, while art, gaming, and travel evolved into my most cherished pursuits.
My background spans computational physics, numerical computing, enterprise technical operations, and years of teaching physics and supporting the development of ed-tech solutions for 4 unicorn valued companies over a time of 6 years.
In 2013, I began my corporate career as a technical support agent at AT&T ConnecTech, diagnosing and resolving technical issues across the USA. This experience helped me with my technical problem-solving skills, customer management & effective troubleshooting skills.
Later, I joined VNIT for my Master’s in Applied Physics, where I focused on classical and quantum computational physics, numerical programming, and high-performance computing. During this time, I explored Vedic Mathematics and integrated its principles with modern computational methods, engineering C++-based systems to solve hard equations called Diophantine equations with complete accuracy & remarkable speed. This work culminated in cracking the Archimedes' Cattle Problem, computing solutions exceeding 18 million digits with absolute accuracy.
My work focuses on building AI-powered learning and training systems that improve performance, engagement, and scalability for businesses and educational institutions. I founded Hexagon Know, a modern AI powered training company combining automation, analytics, and intelligent learning infrastructure. Currently working passionately on Clear Physics Academy to help NEET students to learn physics more interactively and master problem solving.