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Builder & educator at the intersection of computing, physics, and scalable education systems.
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, physics, 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 contributing to the development of ed-tech solutions for 4 unicorn valued companies over a time of 6 years.
I began my tech career at AT&T, USA, remotely diagnosing and resolving technical issues for customers across the United States from Kochi. Handling 20–42 issues per day over 11 months, I developed strong technical problem-solving, customer management, and troubleshooting skills while working in a fast-paced, high-volume environment.
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.
Now I build and offer EdTech solutions for students, schools, companies, and organizations, while also teaching Physics and promoting entrepreneurship through practical, technology-driven learning.
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Sharpen memory, focus and study habits with personal coaching.
Diagnose weak spots, track daily progress and improve with AI.
Live one-to-one online coaching for A Level Physics students.
Leading the development of HK Skill, an AI-powered workforce development platform, focusing on product development and interactive learning simulations.
Managed curriculum development, content creation, and quality control, enhancing engagement for students across India.
Taught NEET Physics to over 1000+ students and helped many secure amazing results including AIR 1 in AIIMS & AIR 2 in NEET 2019
Specialized in computational physics, quantum computing, and solved the Archimedes' Cattle Problem with a 206,545-digit solution.
Trained in mathematical physics and numerical programming; served as Chief Editor for the college magazine.
Completed Higher Secondary Education, specializing in computer science, C++ programming and database management systems.
Explored and solved in 2017 during my Master's in Physics at VNIT Nagpur
The Archimedes' Cattle Problem is one of the most notorious puzzles in mathematical history—so complex that its solution spans 206,545 digits and remained unsolved for centuries without computational power. Solving it requires deep mastery of Diophantine equations, particularly large-scale Pell–Fermat systems.
During my master’s in physics, I specialized in Diophantine analysis and developed a high-performance C++ system capable of solving Pell–Fermat equations of arbitrary size. Built on the principles of Bhāskara II’s Chakravala method and extended with my own algorithm for linear congruences, this system was designed for scale and precision.
Using this framework, I solved over one million Pell–Fermat equations, generating insights on the solutions that were formally documented in my master’s thesis at VNIT. An interesting outcome of the project was solving the Archimedes' Cattle Problem on a standard i7 desktop—demonstrating that even historically “intractable” problems can be approached efficiently with the right mathematical and computational design.
This is just the tip of the iceberg—a powerful validation of Indian Vedic mathematics fused with modern computation.
