Abdelilah Nossair

Independent engineering across AI, data, web platforms and business systems.

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Abdelilah Nossair · Independent Engineer Abdelilah Nossair · Independent Engineer

About me

I turn business leakage into systems that can be measured: AI workflows, data products, web platforms and automation built from strategy through production.

Abdelilah Nossair
My journey My journey

Experience

From production data systems to deployed AI products: experience across analytics, machine learning, software engineering and applied research.

Download CV Download CV
  • Oct 2025 - Aug 2026

    Data Analyst - Optorg Group / Tractafric Equipment

    Designed a multi-source data architecture across ERP, CRM, after-sales, telematics, finance and maintenance. Built Power BI and DAX dashboards for margins, costs, revenue and the sales funnel, reducing recurring reporting preparation by up to 60%.

  • Jun - Aug 2024

    AI Engineer & Junior Consultant - Deloitte Morocco

    Built an end-to-end phishing detection system: a Chrome extension for Outlook and Gmail, a Flask API for real-time inference, and a privacy-by-design data pipeline. A fine-tuned DistilBERT model achieved 98.1% F1, outperforming the best tuned ensemble at 83.7%.

  • Jan - Jun 2023

    Software Engineer - Ministry of Health and Social Protection

    Developed an internal HR platform with role-based access, workflow automation and structured employee data. It digitized six form types for 120 employees, replacing manual paper-based processes.

  • Research & AI

    Applied ML, IoT & assistive technology

    Co-authored a peer-reviewed irrigation-optimization paper and deployed its models through a Flask API and Flutter app. Also built a voice-controlled Raspberry Pi assistive device combining face recognition, OCR, VLM scene description and a distributed edge-server pipeline.

  • Product

    PeerFit - Social sports events platform

    Built, deployed and grew a geo-based sports events app with React Native, Node.js and PostgreSQL to 500+ active users and 300+ events, with product analytics for engagement and retention.

Step by step Step by step

The engagement

The process stays practical: identify the loss, agree on the proof, build the smallest useful system, then improve it using real usage.

Digital visibility and discovery

01. Find the leak

First conversation: The number that matters

We start with a visible business problem: commission leakage, slow lead handling, no-shows, blind margins or a process that consumes too much human time.

AI workflow development

02. Design the right workflow

Before build: Scope, data and proof

I map the user journey, the data and the integration points before choosing the technology, whether that is a website, model, dashboard or automation.

Executive dashboard

03. Build and validate

In focused sprints: Working software, early

The system is tested against the agreed scenario, with the people who will use it. You validate the result before the final delivery, not after it.

Direct booking platform

04. Hand over control

After launch: Access, training and improvement

You receive the code, accounts, access and documentation. Ongoing support is available, but the asset stays yours.

A practical profile: systems that connect business outcomes with engineering depth.

+

Shipped projects

Core specialties

Academic & professional institutions

Building since

1

Direct point of contact

FAQ FAQ

Frequently
Asked Questions

Straight answers about scope, delivery and
the way I work.

1

AI workflows, data and BI systems, web platforms, conversion flows, and focused business automation, when there is a concrete operational or commercial problem to solve.

2

We begin with a short conversation about the problem, the current process and the number you want to improve. I then propose a scoped, practical next step.

3

Yes. I work remotely across Morocco and France, with clear milestones, shared access and direct communication throughout the project.