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Aymen Gassem

@aymengassem

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Early-career AI and data engineer focused on full-stack data solutions and scalable ML systems.

France

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What I'm looking for

I seek an entry-level role applying data, AI and software engineering to production projects with collaborative teams, strong MLOps practices, and opportunities to grow technical impact.

I am an early-career data scientist and AI engineer with hands-on experience designing full-stack web applications and scalable data solutions for finance. I built a Snowflake-backed analytics app with a dynamic SQL engine, optimized loading (‑66% RAM) and sub-second latency, implemented a what-if forecast module, Excel export and secure SSO, and worked in agile cross-functional teams.

My background includes development on COBOL mainframes, C# XML parsers, and modern MLOps practices—Docker, Kubernetes/OpenShift, CI/CD and MLflow—plus projects in customer churn modeling and LLM/Prompt Engineering. I bring curiosity, rigor and a drive to apply data, AI and software engineering to ambitious, production-grade projects.

Experience

Work history, roles, and key accomplishments

Data Scientist / AI Engineer

Sanofi

Aug 2025 - Aug 2025 (0 months)

Designed and developed a full-stack web app to explore Snowflake financial datasets (20M+ rows per fact table) with a dynamic SQL engine, reducing RAM usage by 66% and achieving sub-1s latency; integrated what-if forecasting, Excel export and secure SSO.

Python Snowflake SQL Azure AD Docker Kubernetes OpenShift CI CD

C# / COBOL Developer

Euro Information (Crédit Mutuel)

Jan 2020 - Jan 2022 (2 years)

Developed C# XML parser and COBOL batch programs on z/OS to process electronic invoices and interface with DB2, redesigning batch processing to add business rules and automating execution with JCL.

C++COBOL JCL XML SQL Batch Processing

Education

Degrees, certifications, and relevant coursework

EPITA

Master degree in AI, Artificial Intelligence

2022 - 2025

Activities and societies: University exchange: Ajman University (August–December 2024); projects: full-stack web app for financial data in Snowflake, Azure AD SSO, containerization and Kubernetes deployment.

Master degree in Artificial Intelligence with coursework and projects in data science, AI, cloud deployment, and full-stack development completed between 2022 and 2025.