Facial Recognition Check-In
Biometric check-in that recognizes a face, fires notifications and settles payment in one flow.
Wahid SlimaniFull-Stack & AI EngineerBoumerdes, DZ
Full-stack, applied AI and DevOps. I design, build, ship and monitor the whole system, from the model to the dashboard watching it.
Real-time clinical decision support for colorectal cancer, with computer vision wired into a hospital workflow.

Rental-management SaaS with real-time availability and automated billing across many clients.

Multilingual marketplace and service-management platform built for regional markets.

Offline-first mobile management for artisans, built for unreliable networks.

A browser-based 3D solar system with real orbital motion and multilingual quizzes.

A 3D quantum atom simulator covering orbitals and wavefunctions for all 118 elements.

Research and side builds across computer vision, reinforcement learning and desktop. Where I try things.
Biometric check-in that recognizes a face, fires notifications and settles payment in one flow.
Deep-learning classification of dental imaging for diagnostic support.
A reinforcement-learning agent that learns to control traffic, trained inside the SUMO simulator.
A full rental-management business app with a native desktop interface.
faster deployments
Standardized Docker environments and reusable CI/CD pipelines.
lower backend latency
Up to 40% via query optimization, Redis caching and API tuning.
less manual processing
Automated data collection and analysis for freelance clients.
production SaaS tools
Shipped at Numilex, each with CI/CD from day one.
The same pipeline whether it is a hospital AI platform or a client's SaaS. Four stages, no skipping.
Every system is designed to be deployable from the start. CI/CD pipelines, containerized environments, and basic observability are part of the initial architecture, not something added later.
Decisions are based on real metrics: latency, throughput, error rates, and system reliability. Optimization comes after measurement, not assumptions.
Especially in AI applications, results must be interpretable. When needed, techniques like explainability layers and validation tools are used to ensure the system can be understood and trusted.
Systems are built with separation of concerns and modular services, allowing independent evolution, easier maintenance, and predictable scaling under real-world usage.
Working with Wahid on our rental and sales management platform significantly improved the way we manage our daily operations. The system is intuitive, reliable, and tailored to our business needs. His responsiveness and professionalism made the collaboration a great experience.
The platform developed for Fostaane has streamlined our order tracking, rental management, and customer workflow. Wahid understood our requirements quickly and delivered a solution that has become an essential part of our business.
Our experience with Wahid was excellent from start to finish. The management application he built for La Belle Mariée is fast, easy to use, and adapted to our specific processes. We appreciate his technical expertise and commitment to quality.
I'm a Software Engineer and AI Engineer based in Boumerdes, Algeria, passionate about building products that solve real business problems. My work spans full-stack web development, AI-powered applications, automation systems, and production-ready platforms used by companies and organizations.
Over the past few years, I've designed and developed complete solutions from the ground up: rental and sales management systems, recruitment platforms, medical AI applications, 3D simulations, business dashboards, and custom enterprise software. I enjoy taking a project from an initial idea to a polished product by handling architecture, backend development, frontend experiences, database design, integrations, deployment, and infrastructure.

Open to engineering roles and freelance work in AI and full-stack. The fastest way to reach me is email.