Software Engineer @ NashTech
LMS platforms, API reliability, and AI plugin integration
"Own and deliver backend architecture across Moodle/LMS modules for enterprise education clients, balancing reliability, maintainability, and delivery speed in high-concurrency environments."
- terminal Improved key API response time by ~40% via query optimization, cache strategy redesign, and endpoint refactoring.
- terminal Reduced release rollback frequency by introducing explicit rollout gates and pre-production observability checks.
- terminal Increased platform stability during peak learning events through capacity tuning and background-job hardening.
- terminal Mentored junior engineers on API design and production debugging, improving team delivery predictability.
- Designed and implemented service boundaries for enrollment, grading, notification, and progress-tracking APIs.
- Built AI-assisted tutor and recommendation workflows with privacy-aware prompt and retrieval patterns.
- Led cross-team API contract reviews to reduce regressions between backend and frontend releases.
- Established operational runbooks and incident review loops that improved on-call response quality.