Rishabh is a high school researcher and engineer working across applied mathematics, machine learning, and embedded systems - from stochastic models of financial markets to a patented rider-safety device, designed, built, and published this year.
About
"I like posing questions, analyzing data, and searching for the answers to them."
I'm a high school student interested in many subjects across academics, physical activity, and technology. I have a growing interest in mathematics and physics, which I want to continue studying in my career. I like posing questions, analyzing data, and searching for the answers to them.
Football and tennis play an important role in my life - they've taught me how to think logically and develop patience while working through a task. I've also become very interested in technology and video games, which I believe help me find solutions to problems in a logical way.
Academic research, extracurricular activities, and personal interests keep me constantly searching for ways to learn something new.
More about RishabhResearch
Independent studies in stochastic finance - probability, Markov chains, no-arbitrage pricing - and a machine-learning model for football transfer valuation.
Engineering
Designed and built a jerk-detection rider-alert device - Arduino Nano, IMU sensing, 3D-printed enclosure - published and registered as a UK design patent.
Data & AI
Interned at Patil Engineering building an AI-based predictive maintenance system for industrial pumps; awarded Best Project among six participating companies.
Outreach
Hosts Insider Mechanics, a STEM podcast on the science behind sport, and writes on physics for his school's science magazine.
Published research · Patent registered
An Arduino-based embedded device that senses sudden jerks using an IMU and alerts the rider through an LED, buzzer, and haptic feedback - designed, prototyped, and documented end to end, from circuit to enclosure to publication.
Explores probability theory, conditional expectation, Markov chains, and no-arbitrage pricing to model risk and derivative pricing in modern financial markets.
A machine-learning model that estimates a professional footballer's market value from performance statistics and match data, built as an alternative to subjective transfer valuations.
BuildUp Internships × Patil Engineering, Summer 2025 - for the AI predictive-maintenance internship project.
Design No. 6525958, registered May 2026, for the automobile safety and lane-assistance kit.
AIJFR, Volume 7, Issue 3 (May-Jun 2026) - peer-reviewed paper on the rider-alert device.
Certificate of entry, Global Climate Change Challenge 2025, University of Oxford.
The rider-alert device and its UK patent were featured in Gujarati-language coverage of road-safety innovation.
Podcast
A STEM podcast exploring the science, mathematics, and engineering behind sport - from Formula 1 technology to football physics and cricket engineering. Founded and hosted by Rishabh, for a growing weekly audience.