Case Studies
Technical details behind the products we have built — challenges, architecture decisions, and results.
AnzanPro — Building a Multi-Platform Digital Abacus Learning System
AnzanPro (Internal Product)
Traditional abacus learning relies on physical soroban manipulation, making remote instruction difficult. The core engineering challenge was replicating realistic bead physics and multi-touch gesture recognition across Android, iOS, and Web from a single codebase — while maintaining sub-100ms touch response to feel tactile rather than laggy.
PYQBank — Adaptive Exam Preparation with Spaced Repetition
PYQBank (Internal Product)
NEET and JEE aspirants need structured access to 22,000+ previous year questions organized by chapter, topic, and difficulty — with a study system that adapts to individual retention patterns. Existing platforms offered static question banks without intelligent review scheduling or exam pattern analysis.
VegPick — Three-App Grocery Delivery Ecosystem
VegPick (Internal Product)
Building a grocery delivery platform requires three distinct applications — customer storefront, vendor inventory management, and rider delivery tracking — that must operate in real-time coordination. The challenge was maintaining shared business logic across apps while handling concurrent order state transitions, live GPS tracking, and payment reconciliation.
CabPool — Dual-Role Ride Sharing with Route Optimization
CabPool (Internal Product)
Unlike traditional ride-hailing apps with separate driver and passenger apps, CabPool allows any user to switch between driving and riding within the same application. This dual-role model requires real-time matching algorithms that consider both route overlap and schedule compatibility, along with a fare calculation engine that handles pooled ride splitting.
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