Safoine EL KHABICH

Machine Learning Engineer | MLOps

Salary / Daily rate

Rabat, Morocco

Freelance, open to permanent contract

Can come onsite

Skills

PythonMachine Learning

Languages

Arabic (Native)English (Fluent)French

About me

Intro

MLOps Engineer with 4+ years scaling ML systems from 3 to 30+ production models. Specialized in model deployment pipelines, GPU infrastructure setup, and reducing development cycles by 25%. Expert in Python, AWS, Kubernetes, and TorchServe ready to accelerate your ML projects.

Links

Work experience

ZenML

Mar 2022 - Present

4 years 8 months

Remote, OR 97458, USA

Machine Learning Engineer - MLOps

Oct 2022 - Present

4 years 1 month

Remote, OR 97458, USA

Machine Learning Engineer

Mar 2022 - Oct 2022

8 months

Remote, OR 97458, USA

Beewant

May 2021 - Mar 2022

11 months

Casablanca Metropolitan Area

Machine Learning Engineer

Jul 2021 - Mar 2022

9 months

Casablanca Metropolitan Area

- Change and Redesign the model exportation and deployment process and practices from integrated models with Django to TFServing, TorchServe which helped to scale the number of models in production from 3 to over 30. - Implementing MLOps tools such as MLFlow Server on Docker Container linked with S3 Storage to manage, track and store the data science team experiments and models around a centric server. - Setup and install GPU Training Workstation with Linux, Git, Docker and JupyterLab Containers for multiple Data Scientists which reduced the errors of installation and access to notebooks and accelerated model Development by 25%.

Data Scientist

May 2021 - Jul 2021

3 months

Casablanca, Morocco

- Utilize Pytorch, Tensorflow to create computer vision models from scratch and fine-tune the models - Create scripts that can scrap images from a different search engines, Create scripts with python that augment the number of images in a dataset which improved models by a significant amount

Data Scientist - NLP

FST Settat

Apr 2020 - Aug 2020

5 months

- Create python scripts to collect more than 3,000,000 sentences in Arabic / Darija from the web (web scrapping) to create our word integration model (using fast-text and word2vec) which helped us in the sentiment analysis stage. - Manual collection and classification of 45.000 tweets using the Twitter API and the geography function on Morocco, according to 3 classes (positive, negative, neutral) and preprocessing of the data and creation of 3 different data approaches - Use Python and different machine learning algorithms and techniques on 3 different types of data to build a case study on what models and architectures would work for similar problems.

Full-Stack Developer l SEO

Vala-orange

May 2019 - Jul 2019

3 months

Imouzzer Ida Ou Tanane, Morocco


Education

Mohammed V University in Rabat

Master's degree

2020 - 2022

3 years

FST Settat

licence professionnelle

2019 - 2020

1 year

Ecole Supérieure de Technologies AGADIR

DIPLÔME UNIVERSITAIRE DE TECHNOLOGIE

2017 - 2019

3 years

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