Key accomplishments
– Implemented and operationalized AI models (MLOps Pipelines).
– Automated the deployment of models, endpoints and transform jobs on AWS SageMaker.
– Led the architecture design and development of multiple ML projects, ensuring scalability, efficiency,
and maintainability.
– Developed unit tests and refactored code according to standards.
– Collaborated closely with security, compliance, and data governance teams to ensure alignment
regarding the utilization of data within AI projects following DevSecOps principles.
– Developed and deployed web applications (Streamlit).
– Turned Machine Learning Models developed by data scientists into APIs.
– Automated the extraction of advertising data from social media (Facebook and LinkedIn).
– Prepared data for Artificial Intelligence algorithms (Data Pipelines).
– Developed in agile mode and participated in tests.
– Collaborated with cross-functional teams including data scientists, software engineers, and domain
experts to gather requirements and align project objectives.
– Tools and Technologies: Python, R, SQL, Terraform, Docker, Jenkins, Analytics API, Streamlit,
Snowflake, Git, Bitbucket, AWS SageMaker, Lambda, ECR, Step Functions.
Education
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January 1 2020 - September 1 2021
Polytechnique Montreal
Master’s degree in computer engineering
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August 31 2015 - August 1 2018
Mohammadia Engineering School
Bachelor’s degree, Industrial Engineering
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September 1 2013 - June 30 2015
Mathematics, Physics and Engineering Science
Post-secondary preparatory school
Experience
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November 15 2021 - Present
Beneva
Machine Learning Engineer
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June 1 2020 - December 20 2020
Funartech
Data Scientist
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August 13 2018 - November 1 2019
Crédit Du Maroc
Project manager
Languages
Honors & awards
- 2024
- 2021
