Personalized Adaptive Learning (PAL)
An offline-first, AI-driven K12 recommendation engine — taken from discovery to 5 lakh+ students.
Problem
Indian K12 learners face huge variance in baseline mastery, and most adaptive systems assume always-on connectivity. We needed an engine that works offline-first across low-bandwidth schools, while still learning from every interaction.
Approach
Worked on the product side end to end — from discovery through launch. Built SwiftSync, an offline-first app for low-connectivity regions like Ladakh, and owned the full product development cycle: user research, PRDs, adaptive logic, and go-to-market with field teams.
Outcome
- Measurable increase in student learning outcomes
- 5 lakh+ students on the system
- Content pipeline cycle time reduced through AI assistance



