نور ياسر — مهندس برمجيات ومنتجات وذكاء اصطناعي
I design and build production software across SaaS, AI and retrieval systems, APIs, cloud infrastructure, and e-commerce integrations. My focus is turning product requirements into reliable systems with clear boundaries, measurable behavior, and maintainable delivery paths.
Noor Yasser and نور ياسر are the names I use professionally; @nooryasserx is my primary GitHub identity.
Website · Projects · Technical writing · Medium · LinkedIn · Email
- AI and retrieval systems: production RAG pipelines, embeddings, Qdrant, hybrid search, reranking, grounded answers, evaluation, and multi-tenant isolation.
- SaaS and platform architecture: tenant context, authorization, background jobs, observability, caching, data boundaries, and secure integration patterns.
- E-commerce integrations: order, inventory, payment, shipping, webhook, and ERP workflows for platforms such as Salla, Zid, and Shopify.
- Cloud and delivery systems: Docker, Kubernetes, CI/CD, infrastructure automation, reliability, and operational readiness.
- Product engineering: practical architecture that connects customer needs, software design, delivery speed, and long-term maintainability.
| Area | Current focus |
|---|---|
| AI engineering | RAG, vector search, Qdrant, query rewriting, reranking, evaluation |
| Backend systems | APIs, event-driven workflows, webhooks, authentication, multi-tenancy |
| Data infrastructure | PostgreSQL, MySQL, Redis, caching, search, observability |
| Cloud and DevOps | Docker, Kubernetes, CI/CD, deployment safety, reliability |
| Product platforms | SaaS, e-commerce, payments, integrations, automation |
- MovieAppQ — a Kotlin Android reference application using MVVM, Room, Retrofit, Hilt, paging, and offline-first data flow.
- News App Flutter — a cross-platform news application built with Flutter, Bloc, RxDart, and Dio.
- Azkaree — an Arabic Android application for daily remembrance, notifications, and local utilities.
For current product work and case studies, visit the projects section on nooryasser.com.
I publish implementation-focused articles in English and Arabic. The writing is organized into durable topic hubs rather than disconnected posts:
- AI, RAG, and Vector Search
- Cloud, DevOps, and Kubernetes
- E-commerce Engineering
- API, SaaS, and Integration Architecture
- Product Engineering
Featured guides:
- Production RAG Pipeline: Chunking, Qdrant, Retrieval, Reranking, and Context
- Qdrant Hybrid Search in Production
- Secure Tenant Context Propagation in SaaS
- Reliable Shopify Webhooks with a Durable Inbox and Reconciliation
Languages: TypeScript, JavaScript, PHP, Python, Kotlin, Dart
Backend and APIs: Node.js, NestJS, Laravel, ASP.NET Core, REST, OAuth, webhooks
Data and AI: PostgreSQL, MySQL, Redis, Qdrant, embeddings, hybrid retrieval
Infrastructure: Docker, Kubernetes, CI/CD, AWS, Oracle Cloud
Mobile: Android, Kotlin, Flutter
- Start with the product constraint and choose the smallest architecture that can meet it.
- Make contracts, authorization, failure modes, and observability explicit.
- Measure retrieval quality, latency, cost, and groundedness instead of relying on demos.
- Design integrations for retries, idempotency, reconciliation, and partial failure.
- Prefer maintainable systems over unnecessary complexity.
For product engineering, AI systems, SaaS architecture, or integration work:
- Website: nooryasser.com
- LinkedIn: linkedin.com/in/nooryasserx
- Email: [email protected]