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Nourdine SAÏDNS
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Nourdine SAÏD

@nourdinesad

Full-stack financial developer specializing in backend, MLOps, and production ML deployment.

Spain
Message

What I'm looking for

I seek roles where I can lead production ML deployments, improve MLOps pipelines and deliver measurable business impact in collaborative, engineering-driven teams.

I am a results-oriented full-stack financial developer and data scientist with deep experience in ML engineering, MLOps and backend development using Python and GitLab. I have led end-to-end AI solutions — from feature engineering and model development (CNN, XGBoost, Random Forest) to production deployment on Kubernetes and cloud platforms (GCP/Azure).

I focus on building reliable, scalable systems: designing CI/CD pipelines with GitLab, implementing data drift detection with Kafka, and delivering measurable business impact such as a 90% recall fraud model and 99.9% application uptime. I combine strong engineering discipline with domain knowledge in finance to drive data-driven decisions and operationalize ML at scale.

Experience

Work history, roles, and key accomplishments

TE

Freelance ML Engineer

Telus/Capgemini

Dec 2023 - Jun 2025 (1 year 6 months)

Developed and deployed production ML solutions and MLOps pipelines for fraud detection and e-commerce analytics, achieving scalable Kubernetes deployments and real-time data drift monitoring.

Education

Degrees, certifications, and relevant coursework

CM

Central Mediterranean

Master of Science, Data Science

2022 - 2023

Intensive Master of Science program in Data Science with practical training in computer science, machine learning engineering, and MLOps using Python and Java Spring Boot.

Montpellier University logoMU

Montpellier University

Master of Economics and Social Sciences, Economics and Social Sciences

2018 - 2021

Master of Economics and Social Sciences with specialization in quantitative impact evaluation and advanced econometric analysis.

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Nourdine SAÏD - Freelance ML Engineer - Telus/Capgemini | Himalayas