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
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