AI & Data Engineer‑in‑Training

Final‑year Computer Engineering student at UTC, currently pursuing a double‑degree Master’s at UPC Barcelona. Ex‑Data Science Intern at Bouygues Construction. Open to a 6‑month internship (Feb–Jul 2026) in Data/AI.

French (C2) English (C2) Arabic (C2) Spanish (B1)

Highlighted Skills

Python SQL PyTorch RAG Snowflake Dataiku Streamlit

Certs: Dataiku Core/Advanced/ML/ML Ops • Bouygues Excellence Scholarship

About Me

I’m Fadi Shafo, a Computer Engineering student at the Université de Technologie de Compiègne (UTC) specializing in AI & Data Science, and a double‑degree Master’s student at UPC Barcelona. I enjoy building robust data/AI pipelines end‑to‑end — from collection and cleaning to modeling and deployment — and I love projects that mix engineering with impact.

Experience

Recent roles

Data Science Intern — Bouygues Construction

Sept 2024 – Feb 2025 • Île‑de‑France

Led an internal project to gather and structure ownership links between companies, from design to industrialization.

  • Built a modular pipeline for OCR, NLP, and consolidation.
  • Automated large‑scale retrieval of 160k+ reports via INPI APIs with quota management.
  • Identified and consolidated 33k+ ownership links across major groups.

Consultant Data & AI — SCMB

Apr 2025 – Jun 2025

Designed AI solutions to automate cost/time estimation in tender responses.

  • Benchmarked methods to transform CAD files into structured data.
  • Assessed ML feasibility to predict production costs from drawings & history.
  • Delivered a roadmap for extraction, database design, and predictive pipeline.

Head of IT — Junior UTC

Feb 2024 – Oct 2025 • Compiègne
  • Managed IT systems and designed a no‑code Google‑based ERP.
  • Acted as DPO, ensuring GDPR compliance.

General Secretary — EPI (Student Solidarity)

Feb 2025 – Sep 2025
  • Led a 20‑member team supporting 200+ students with food aid.
  • Built partnerships with local businesses & organizations.

Assistant Quality Assurance — Sanofi

Aug 2022 • Compiègne
  • Verified raw material control exemptions and reported discrepancies.

Projects

Selected work

RAG — Ethics in AI

Built a Retrieval‑Augmented Generation system (Google embeddings + ChromaDB) with reranking & citation‑enforced prompting.

  • Improved reliability by ~25% (eval on curated Q/A set).
  • Streamlit app w/ source traceability.

Carbon Footprint Data Warehouse

Star‑schema warehouse to estimate organizational footprint (travel, IT) + Streamlit KPIs dashboard.

  • ETL in Python, SCD‑2 deltas, dimensional modeling.

Object Detection — Classical CV

HOG + sliding windows + selective search + NMS pipeline on a custom dataset.

  • Hard‑negative mining & multi‑scale detection.

Skills

Programming

PythonSQLC/C++RMatlab

AI & Data

RAG pipelinesPyTorchScikit‑learnPySparkData Warehousing

Tools & Infra

SnowflakeDatabricksDataikuStreamlitPower BIGit/Linux

Certifications

  • Dataiku Advanced Designer
  • Dataiku Core Designer
  • Dataiku MLOps Practitioner
  • Dataiku ML Practitioner
  • Excellence Scholar — Fondation Francis Bouygues

Soft Skills

Project Management Analytical Thinking Entrepreneurship Cross‑disciplinary teamwork

Education

Master’s — Interdisciplinary & Innovative Engineering (AI & Healthcare)

Universitat Politècnica de Catalunya (UPC), 2025–2026 • Barcelona, Spain

Coursework: Machine Learning, AI, Wearable Devices, Fault Detection, Signal Analysis.

Computer Engineering (AI & Data Science) + Master’s Optimization of Complex Systems

Université de Technologie de Compiègne (UTC), 2021–2026 • Compiègne, France

GPA ~3.9/4 • Coursework: ML, Data Warehousing (ETL), Computer Vision.

Contact

Location

60200 Compiègne, France • Barcelona, Spain

Email

fadishafo@gmail.com

Phone