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Lojaine EddahirLE
Open to opportunities

Lojaine Eddahir

@lojaineeddahir

AI Engineer focused on production computer vision and ML forecasting with full-stack AI systems.

Morocco
Message

What I'm looking for

I’m looking for a remote-friendly role where I can build and deploy production AI—especially computer vision and ML forecasting—paired with strong backend/frontend engineering. I’m open to relocation and focused on real-world impact.

I’m an AI / Big Data Engineering graduate with an MSc in Data Engineering & Cloud Computing, and hands-on end-to-end production experience spanning computer vision, ML forecasting, and full-stack AI systems. I thrive on turning real-world data into reliable, deployable products.

In my final year internship, I deployed a live intelligent queue management system in a Super U retail store. I trained a Prophet + LSTM + XGBoost ensemble on 183,965 customer events (sub-6-minute MAE for short-horizon queue predictions), and built a real-time CV pipeline with YOLOv8 + OpenVINO using RTSP feeds.

On the software side, I designed and shipped a FastAPI backend with PostgreSQL/TimescaleDB to power a Streamlit operations dashboard, plus a React Native mobile app with live queue status, bilingual EN/FR support, and forecast recap. I also automated deployment and used Cloudflare Tunnel for remote access in production.

Before that, I built production OCR pipelines for vehicle registration documents (1,000+ docs/day) and improved document understanding accuracy by 35%. I continue to aim for practical engineering: measurable performance, clean pipelines, and systems that work end-to-end for real users.

Experience

Work history, roles, and key accomplishments

MI

AI / Software Engineer

Machine-Vision.io (Inetech.io)

Nov 2025 - Jun 2026 (7 months)

Fine-tuned a YOLOv8n model for tyre inspection, covering surface defect detection, classification, and production-line presence detection. Also led a solar panel energy optimization project from data processing through model deployment.

RV

AI / Computer Vision Engineer

Roc4Tech / VSENS

Feb 2026 - Jun 2026 (4 months)

Built and deployed a production queue management system for a Super U retail store, combining customer detection, real-time lane monitoring, and short-horizon queue forecasting. Implemented a FastAPI + PostgreSQL/TimescaleDB backend with a Streamlit operations dashboard and a bilingual React Native/Expo supervisor app, deployed with remote access automation.

MI

Computer Vision Engineer

Machine-Vision.io (Inetech.io)

Jul 2025 - Aug 2025 (1 month)

Built production OCR pipelines for European vehicle registration documents, including improved accuracy and high-throughput document processing. Developed and integrated computer vision modules for document understanding and automated data extraction.

Education

Degrees, certifications, and relevant coursework

AS

Aivancity School for Technology, Business & Society

MSc, Data Engineering & Cloud Computing

2024 - 2026

Pursuing an MSc in Data Engineering & Cloud Computing (2024–2026) in Paris-Cachan. Focuses on end-to-end AI and data engineering practices alongside applied project experience.

AS

Aivancity School for Technology, Business & Society

Master of Science (MSc), Data Engineering & Cloud Computing

2024 - 2026

Pursued an MSc in Data Engineering & Cloud Computing at Aivancity in Paris-Cachan. Covered data engineering and cloud computing foundations to support production-ready AI systems.

IM

ISGA Marrakech

Engineering Degree, AI & Big Data

2021 - 2026

Completed/ongoing an Engineering Degree in AI & Big Data (EUR-ACE accredited) as part of a dual degree program (2021–2026). Built AI and big data capabilities through applied coursework and engineering projects.

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