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Background

Computer engineer, Data/AI specialisation. Apprenticeship at INSEI since April 2023, more than three years. Available from October 2026.

Experience

April 2023 → September 2026

Data/AI Engineer, apprenticeship at INSEI, Suresnes

  • Production RAG and LLM architecture: a document assistant answering staff questions on internal procedures, contacts and resources, serving two sites across fourteen containerised services.
  • Hybrid retrieval: embeddings, a vector store, keyword search and reranking. Moving from purely semantic to hybrid retrieval is what improved retrieval, and it was measured.
  • Pipelines and MLOps: incremental ingestion, chunking, indexing, a REST API, containerisation and production rollout. Everything runs on the institution's own infrastructure, with no licence budget.
  • Evaluation and observability: a versioned set of eighty-eight reference questions, an automated judge, and request tracing. That harness is what makes it possible to compare two pipeline versions instead of trading impressions.

See the project

May → July 2025

Full-stack developer, internship at Ace English Malta, in Malta

  • Development in .NET and Angular within a three-person IT team, on a management, booking and reporting application: activities, payments, invoices, classrooms, courses and dashboards. Modules delivered end to end, from back-end to interface, plus the migration of a rich-text editor from one major version to the next across the existing application.
  • International collaboration: team planning and tracking, version control, and secured REST APIs on the server side.
  • The migration was carried out by leaving the old code path in place, disabled but intact, until the new one was fully validated, with a tracking file recording, screen by screen, what had been handled and what remained.
  • In parallel, and without being asked, I catalogued twenty functional defects in parts of the application I had not written: missing input validation, actions still available after an item was deleted, success messages rendered in error colours, date inconsistencies. Most were fixed, each fix traceable in the repository history.
  • The end-of-internship assessment, signed by the company, awards an A grade and singles out that initiative and the analytical work as strengths. It also states one area for improvement, which I reproduce as written: refining the accuracy of my time estimates on complex tasks.

Skills

Programming languages

  • Python (AI/ML/Data)
  • SQL
  • C
  • C++
  • C#
  • JavaScript

Data Science, ML & Deep Learning

  • Feature engineering
  • Calibration
  • Cross-validation
  • CNN
  • Autoencoders
  • LSTM
  • Attention
  • Transfer learning
  • Scikit-Learn
  • XGBoost
  • LightGBM
  • statsmodels
  • TensorFlow
  • PyTorch

LLM / RAG

  • Embeddings
  • Hybrid retrieval
  • Reranking
  • LLM-as-judge
  • Ollama
  • Mistral
  • LangChain
  • Qdrant

Data Engineering & MLOps

  • PostgreSQL
  • MySQL
  • Hive/HDFS
  • ETL
  • REST APIs
  • WebSockets
  • Docker
  • Git
  • Azure DevOps
  • FastAPI
  • asyncio
  • n8n
  • Langfuse
  • Tailscale

Data visualisation

  • Power BI
  • Matplotlib
  • Seaborn

Education

2023 → 2026

Ingénieur en informatique, spécialité Data Science / IA, CESI École d’Ingénieurs, campus de Nanterre

Apprenticeship track.

2021 → 2023

Integrated two-year preparatory programme, CESI École d’Ingénieurs, campus de Nanterre

Languages

  • FrenchNative
  • EnglishC1, TOEIC 950
  • SpanishB1