ZERAIBI YASSINE

Improved performance and SEO by 30% (Lighthouse scores 72 -> 96) for a scalable Next.js/TypeScript frontend; reduced runtime errors by 35%; enhanced API reliability by introducing shared type-safe contracts (tRPC); boosted real-time responsiveness by 45% via WebSockets, TanStack Query, and caching; designed a reusable, accessible component system to cut feature delivery time by 25%; contributed to code quality via reviews and CI practices.

Built and scaled an end-to-end data collection platform for 1,000+ monthly active users and 50,000+ responses/month using NestJS, Next.js, and React Native (Expo); reduced costs by replacing Google Maps with a self-hosted Nominatim service and cached geolocation module; deployed production infrastructure on private VPS with Docker, Coolify, Traefik; implemented CI/CD, Linux hardening, and a self-hosted MinIO S3-compatible storage; improved reliability by 42% with scalable background jobs (Redis, BullMQ) and centralized logging/monitoring (Grafana stack) with automated alerts.

Architected a scalable NestJS backend with PostgreSQL and Redis; developed an adaptive learning engine using IRT and Bayesian Knowledge Tracing for real-time personalized paths; implemented secure multi-role access and monetization (subscriptions, payments, feature gating, role-based permissions); introduced real-time notifications and contributed to EdTech competition (2nd place at Educteck).