I'm a data scientist and ML engineer with extensive experience building end-to-end AI systems across healthcare, finance, and tech. I design robust data pipelines, ML models, and production-ready backends, with a passion for turning data into actionable decisions. I thrive in cross-functional environments and enjoy mentoring teammates to deliver scalable, impactful solutions. I am motivated by solving complex problems with modern AI tooling, driving production deployment and MLOps practices, and continuously learning new techniques to improve model performance and reliability.

sskl

I'm a data scientist and ML engineer with extensive experience building end-to-end AI systems across healthcare, finance, and tech. I design robust data pipelines, ML models, and production-ready backends, with a passion for turning data into actionable decisions. I thrive in cross-functional environments and enjoy mentoring teammates to deliver scalable, impactful solutions. I am motivated by solving complex problems with modern AI tooling, driving production deployment and MLOps practices, and continuously learning new techniques to improve model performance and reliability.

Available to hire

I’m a data scientist and ML engineer with extensive experience building end-to-end AI systems across healthcare, finance, and tech. I design robust data pipelines, ML models, and production-ready backends, with a passion for turning data into actionable decisions. I thrive in cross-functional environments and enjoy mentoring teammates to deliver scalable, impactful solutions.

I am motivated by solving complex problems with modern AI tooling, driving production deployment and MLOps practices, and continuously learning new techniques to improve model performance and reliability.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

French
Fluent
English
Fluent
Arabic
Fluent

Work Experience

Fractional Gen AI Data Scientist at Portal Innovations
September 30, 2025 - October 9, 2025
Created a Hybrid RAG research system for researchers and commercial potential matching. Built end-to-end data extraction pipelines for medical biology classification for research publications, startups, and pharmaceutical company research interest. Built high-efficiency document crawlers for scientific publications. Key technologies: Python, AWS, Modal, OpenAI API, OpenAlex, Vector Store, NLP, LangChain, Postgres.
Fractional Lead Gen AI at Hybrid (ESN)
September 1, 2024 - Present
Designing and building Gen AI-based lead generation and matching platform; backend with ML models; ML/DL pipelines; cross-cloud interoperability; mentoring team; deployment.
Senior Data Engineer at AXA
December 31, 2024 - October 9, 2025
Lead ML design and deployment across organizational projects to optimize production costs per country; lead ML for projects moving to production (architecture, data access, monitoring, feature engineering). Active member of the MLOps task force; benchmarking LLMs for internal use; tooling and governance.
Co-founder and CTO at Social Objects
July 31, 2020 - October 9, 2025
Helped marketers engage their audience on social networks based on demographics and psychographic data. Translated product vision to roadmaps and costing. Hired and managed developers and interns. Built computer vision-based sentiment analysis and dashboards; cloud backend; data pipelines; social post sentiment tooling; front-end dashboards.
Data Scientist at Artefact
September 30, 2016 - October 9, 2025
R&D data science: PoC for dynamic marketing attribution model; productionizing NLP/ML workflows; optimized Spark/Hadoop pipelines; designed data collection and segmentation activation leveraging Oracle Data Management Platform.
Computer Vision R&D Engineer at i TesLab
January 1, 2016 - October 9, 2025
Developed PoC for automatic outdoor vehicle detection and tracking; implemented PoC in C++ using OpenCV and Kalman filters.

Education

Masters at Paris Ecole Polytechnique - Université Paris Saclay
September 1, 2015 - August 31, 2016
The master Machine Learning for Information and Content is designed to train a good data-scientist. This unique program combines essential skills training in machine learning, content analysis and distributed acces to create knowledge from bigdata. The questions we address are: -The technical skills to become a good data-scientist -Models and methods to learn from real and big data: text, speech, image, the web, social network, and from scientific or industrial applications -The design of scalable algorithms that can learn and infer knowledge and prediction
Preparatory Institute of Engineering studies at EL MANAR Preparatory Institute of Engineering studies
January 1, 2010 - January 1, 2012
BS in Computer Science Engineering at National Engineering School of Tunis (ENIT)
January 1, 2012 - January 1, 2015
M2 Machine Learning Information and Content (AIC) at Université Paris-Sud (Paris XI) / École Polytechnique
January 1, 2015 - January 1, 2016

Qualifications

Stanford Machine Learning
January 11, 2030 - October 9, 2025
Deep Learning.ai
January 11, 2030 - October 9, 2025
Google Cloud ML
January 11, 2030 - October 9, 2025
Amazon Web Services (AWS) ML
January 11, 2030 - October 9, 2025
MongoDB Certification
January 11, 2030 - October 9, 2025

Industry Experience

Software & Internet, Financial Services, Healthcare, Professional Services, Life Sciences, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
See more