Founder & Software Creator — India
MOHAMED
MOHAMED
THARIK
Engineering frictionless digital infrastructure for the next generation of commerce.
Engineering frictionless digital infrastructure for the next generation of commerce.
Mohamed Tharik is a software developer and entrepreneur. He is the founder of StoreSnap India, engineering high-performance digital infrastructure with absolute precision, scalability, and zero wasted motion.
With a strong foundation in computer applications and systems architecture, his structural mindset drives his development practice across utility platforms including ARTRES, QuickQR, and Tethr.
Rather than adding abstraction, he removes it. Every product under his direction — from a zero-login storefront to an Edge AI anti-doomscroll utility — is built on the same conviction: the fewer moving parts standing between an idea and its user, the more powerful that idea becomes.
Engineered and launched QuickQR and ARTRES, establishing his first client-side standalone canvases — tools that run entirely in the browser, with nothing to install and nothing to maintain server-side.
A focused period optimizing component architecture for production hardware deployment — refining the underlying systems that would carry his next venture at scale.
Architected and launched StoreSnap India, resolving critical checkout friction points for regional Indian merchants and giving them a direct, mobile-first path to their customers.
Engineered Tethr, an on-device Edge AI anti-doomscrolling system. Recognized with 2nd Prize at the UNESCO CREGU Young Scientist & Technology Expo 2026.
A mobile-first, zero-login e-commerce enablement platform built to maximize merchant conversions via secure, integrated processing channels.
An online visual document designer utilizing a responsive drag-and-drop web canvas for lightning-fast asset layouts.
A completely serverless, lightweight client-side QR generation ecosystem optimized for immediate utility deployment.
The first anti-doomscrolling utility powered by on-device Edge AI, utilizing hardware-level grayscale and adaptive cognitive friction to break algorithmic loops.
🏆 2nd Prize Winner — UNESCO CREGU Young Scientist & Technology Expo 2026
True digital empowerment isn't about adding complex layers; it's about stripping away the technical friction that keeps outstanding ideas offline.