Senior backend engineer specializing in Laravel, PHP and SaaS/ERP architecture. 8+ years building and scaling multi-tenant platforms across e-commerce, POS, dashboard and mobile — and leading the teams that build them.
Outcomes from the multi-tenant SaaS ERP platform I lead at OSOS.
Replaced a fragmented subscription model with a licensing architecture built on Laravel auth, policies and gates — enabling accurate MRR and per-customer revenue reporting.
A centralized email/SMS/WhatsApp notification system, plus a nested condition engine now powering shipping, pricing and cart/invoice rules across Store, POS and Mobile.
A caching strategy to absorb high traffic and relieve the database, with Grafana/Prometheus monitoring for system health and performance.
01Lead backend architecture at OSOS for a SaaS ERP across POS, e-commerce, dashboard and mobile — 3 product launches.
02Led a team of 10 at Brain Click and introduced Agile practices: +25% productivity, 10+ client projects delivered.
03Led 8–12 developers at SCIT and trained and onboarded 20+ developers.
04Drove a multi-client e-commerce base platform that served more clients from one codebase — +20% company revenue.
Arabic (native) · English (C1)
Alongside engineering, I publish on optimization algorithms, machine learning and systems. The habits carry over: measure, find the weak step, and fix it.
An improved version of the nature-inspired Black Hole algorithm that groups data into clusters more effectively.
→ in practice Take a known algorithm, find where it falls short, improve it — the same way I approach slow queries and APIs.
A facial-emotion recognition framework that uses the improved Black Hole algorithm to tune an Extreme Learning Machine.
A new loop-scheduling algorithm that merges increasing and decreasing chunk sizes to balance work across processors.
→ in practice Load balancing and scheduling — the same problem as spreading traffic and jobs across servers.
Feature selection with the Crow Search algorithm, so diagnosis relies on fewer, cheaper clinical features.
Machine learning that automatically finds the sensitive API methods Android malware relies on, replacing hand-maintained lists.
→ in practice Automate what teams usually maintain by hand.
Detects the API calls malware uses to evade dynamic analysis, so analysis tools are not limited by incomplete manual lists.
Open to senior backend and engineering leadership roles.