Available to hire
EPFL-trained Data Scientist with a strong background in building end-to-end machine learning systems. Experienced in navigating the entire data lifecycle —from robust data collection and preprocessing to model deployment. Eligible for priority admission under Article 21(3) of the Federal Act on Foreign Nationals and Integration for roles of academic, scientific, or economic interest.
Skills
Language
French
Fluent
Arabic
Fluent
English
Fluent
Spanish; Castilian
Beginner
Work Experience
Research Assistant at EPFL (UN SDG Patent Classification)
November 1, 2025 - April 1, 2026Developed a NLP framework to classify international patents into 16 UN SDGs; built an NLP pipeline to transform abstracts into model-ready features using NLP techniques and NN architectures; created Sankey diagrams to visualize correlations between CPC identifiers and predicted SDG impact.
AI Engineer at EPFL
November 1, 2025 - April 1, 2026Architected a synthetic data generation pipeline via Blender API to produce diverse datasets for gaze estimation; developed CNN architectures for gaze estimation; delivered end-to-end ML system for time-series classification using IMU data; optimized performance with CNNs and feature engineering.
Teaching Assistant at EPFL
February 1, 2024 - January 31, 2025Assisted students during exercise sessions for Linear Algebra and Analysis; identified difficult topics and provided feedback to the instructor; contributed to exam grading.
Research Assistant at EPFL
November 1, 2023 - April 1, 2024Developed a web platform using React and D3.js to visualize Formula 1 data; created an animated Global Leaderboard and Hall of Fame radar chart; managed the full data life cycle from preprocessing and exploratory data analysis to frontend visualization.
Education
Bachelor of Computer Science at EPFL
January 1, 2018 - January 1, 2022Master of Data Science at EPFL
January 1, 2022 - January 1, 2026Qualifications
Industry Experience
Consumer Goods, Computers & Electronics
Skills
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