Open to opportunities

Yasmine Masmoudi

@yasminemasmoudi

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I am a Data Engineer specializing in cloud-native MLOps, real-time streaming, and scalable data pipelines.

Tunisia

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What I'm looking for

I am seeking data engineering roles focused on MLOps, real-time streaming, and cloud-native systems where I can build scalable pipelines, improve observability, and deliver production ML value in collaborative teams.

I am a Data Engineer with hands-on experience building scalable data pipelines and supporting ML workflows in production, using tools such as Apache Spark, Kafka, Airflow and Palantir Foundry. I deliver robust data solutions and actionable insights for global tech environments.

At Forvia Faurecia I provided technical support for Foundry applications, resolved incidents, monitored pipeline performance, and designed optimized PySpark pipelines that improved ingestion, transformation, and delivery across interconnected workflows. In internships I developed a Streamlit tool and used Dask for large-scale semiconductor data analysis, and applied MLOps best practices with MLflow and Prefect while building deep learning models for energy disaggregation.

I am passionate about MLOps, real-time streaming, and cloud-native architectures and open to data engineering roles where I can contribute to high-scale systems, observability, and production-ready ML pipelines.

Experience

Work history, roles, and key accomplishments

Product Engineer Intern

Infineon Technologies

Apr 2024 - Sep 2024 (5 months)

Developed a Python Streamlit tool for correlation analysis between semiconductor process parameters and DoE datasets, processing large-scale EFF files with Dask to accelerate analysis and surface key parameter relationships.

Python Streamlit Dask EFF File Processing Data Processing

Machine Learning Engineer Intern

SFM Technologies

Jun 2023 - Aug 2023 (2 months)

Built a deep learning model for NILM (energy disaggregation) and applied MLOps best practices including MLflow experiment tracking and Prefect workflow orchestration to improve model lifecycle management.

Deep Learning NILM MLFlow Prefect Model Training Python

AI Engineer Intern

ACTIA Engineering Services

Jul 2022 - Aug 2022 (1 month)

Designed and simulated a custom map for autonomous robot navigation using WeBots, Java OpenStreetMap, and SUMO, and implemented a deep reinforcement learning algorithm to enable autonomous delivery behaviors.

Webots Reinforcement Learning WeBots Sumo Java Simulation

Education

Degrees, certifications, and relevant coursework

Università degli Studi di Padova

Erasmus+ Mobility Program, ICT Engineering

2023 - 2024

Activities and societies: Principal coursework: Machine Learning, Human data analytics, Foundations of databases, Scientific Computing with Python.

Erasmus+ mobility in ICT Engineering at the Università degli Studi di Padova focusing on machine learning, human data analytics, databases, and scientific computing with Python.

Higher School of Communications of Tunis (Sup'Com)

ICT Engineering, ICT Engineering

2021 - 2024

Activities and societies: Principal coursework: Algorithms and data structures, Web services, Problem‑solving, Probability, Statistical inference, Optimization, Cloud, Big data, Machine Learning, IoT, and networking.

ICT Engineering program at the Higher School of Communications of Tunis covering algorithms, web services, probability, machine learning, cloud, and big data topics.