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Data & AI Engineer — Software Engineering · Data Platforms · LLM Integration & Agentic Systems
Casablanca, Morocco · [téléphone] · [e-mail] · [lien]
PROFILE SUMMARY
Data & AI Engineer building enterprise data platforms and production AI systems. Core contributor on an industrial AI platform at JESA:
ETL/ELT pipelines on Azure structured around a medallion architecture (Bronze/Silver/Gold), AI skills and workflows orchestrated with Temporal, LangGraph/LangChain agents and RAG in production, and an AI-driven development lifecycle (ADLC) that accelerates team delivery. Full-stack software engineer at the core (C# .NET Core, React, FastAPI), delivering the platform end-to-end. Microsoft-certified
Azure Data Engineer (DP-203); PhD researcher on LLM-based conversational agents in software engineering.
CORE SKILLS
Data Engineering: ETL/ELT, PySpark, Kafka, dbt, Medallion Architecture (Bronze/Silver/Gold), data warehousing (Star & Snowflake schemas)
Workflow Orchestration: Temporal (durable workflows), Apache Airflow, n8n
Cloud & Infrastructure: Azure (Synapse Analytics, Data Lake Storage, Data Factory, Azure ML, AKS, Service Bus), Docker, Kubernetes
Artificial Intelligence (AI) & Large Language Models (LLMs): Azure OpenAI, generative AI, LangChain, LangGraph, CrewAI, RAG (FAISS, ChromaDB), prompt engineering, LLM guardrails
Machine Learning (ML) & MLOps: XGBoost, Scikit-learn, MLflow, Azure ML, SMOTE, model evaluation (AUC-PR)
Databases & BI: PostgreSQL, Redis, Power BI, Apache Superset, Oracle BI
Software Engineering: Python (FastAPI), C# (.NET Core), React, TypeScript, SQL, REST APIs, Git, CI/CD, Scrum/Agile
Languages: Arabic (native), French (bilingual), English (fluent), Spanish (beginner)
PROFESSIONAL EXPERIENCE
Programmer Analyst — Data & AI · JESA S.A., Casablanca · Jun 2025 – Present
Internship converted to a full-time role (Sep 2025) on the same industrial AI platform.
- Built the platform's data infrastructure on Azure: ETL/ELT pipelines feeding a medallion architecture (Bronze/Silver/Gold) that guarantees quality, traceability and lineage of every output — including raw LLM outputs.
- Developed the AI skills & workflow engine orchestrated with Temporal: durable, fault-tolerant execution with automatic retries and full execution history.
- Delivered RAG over 100+ technical documents (Azure OpenAI + FAISS) and n8n automations integrating REST APIs and Azure Service Bus across 3 business units.
- Modeled a star-schema data warehouse on Azure Synapse; built Apache Superset and Power BI executive dashboards for 8+ stakeholders.
- Led full-stack software engineering of the platform: C# .NET Core back-end services, React front-end, and FastAPI/Redis microservices cutting API latency by ~40%.
- Industrialized XGBoost models with MLflow and Azure ML — ~15% accuracy improvement over the previous production baseline.
- Set up an AI-driven development lifecycle (ADLC) with custom AI skills tailored to team needs, accelerating team delivery.
- Junior Scrum Master: orchestrated end-to-end deliveries with an external vendor — sprint planning, FSD/DAT validation, code reviews, and go/no-go decisions across 3+ release cycles.
- Technical lead on small internal projects, owning technical design, implementation and delivery.
Data Engineering Intern · SEGULA Technologies, Casablanca · Feb 2025 – Jun 2025
- Built an end-to-end regulatory reporting platform (Flask) for OH2/UTAC certification tracking, powered by PySpark ETL pipelines (batch + incremental) orchestrated with Airflow into a PostgreSQL warehouse — 60% faster report generation.
- Delivered Apache Superset dashboards and automated KPI reporting across 3 critical regulatory deadlines.
Data Scientist Intern — Credit Risk · Banque Centrale Populaire, Casablanca · Jun 2024 – Aug 2024
- Built a fraud & credit-risk framework (XGBoost + K-Means/DBSCAN) on 10k+ records using SMOTE and AUC-PR evaluation — ~82% precision on high-risk profiles; segmentation insights informed the recovery team's loss-mitigation strategy.
BI & Reporting Intern · ONCF, Rabat · Apr 2023 – Jun 2023
- Automated billing reconciliation with Oracle BI and XML Publisher, saving ~8 hours/week across 4 departments.
EDUCATION
Ph.D., Information Systems & AI — Université Hassan II, Casablanca · 2025 – Present
Research: LLM-based Conversational Agents in Agile Software Engineering
M.Sc., Data Science & Big Data — Faculty of Sciences Ben M'Sick (FSBM), Casablanca · 2023 – 2025
B.Sc., Computer Engineering — FST Tangier · 2022 – 2023
DEUST, Mathematics, Physics & Computer Science — FST Tangier · 2020 – 2022
CERTIFICATIONS
Microsoft Certified: Azure Data Engineer Associate (DP-203) · Microsoft
LangChain & LLM Application Development · DeepLearning.AI
Power BI: Data Modeling, ETL & Deployment · Microsoft
ETL Pipelines & Big Data with Spark/Hadoop · IBM
AWS Cloud Practitioner · Amazon Web Services
