Resume | Julien Chapuy

Summary

A graduate of École Centrale de Lille, I specialize in the intersection of software engineering and artificial intelligence.

Passionate about innovation, I help companies leverage Generative AI to turn complex ideas into robust, high-performance solutions.

My expertise covers RAG architecture design, LLM optimization, and the development of scalable full-stack applications.

Architected and deployed a highly scalable scrapping infrastructure utilizing AWS ECS, Celery, and RabbitMQ, overseeing DevOps and cloud infrastructure for a team of 5-10 engineers.
Provided technical leadership and mentorship to two AI engineers on projects including document extraction and analysis, RAG chatbot development, and AI-augmented data cleaning processes.
Played a key role in talent acquisition by conducting over 20 technical interviews for AI engineering positions.
Contributed to multiple technical audits and supported pre-sales activities by providing technical expertise.

Engineered a comprehensive full-stack solution, including a Rust backend, a React-based backoffice, and a React Native mobile application featuring AI-powered artwork retrieval via image recognition.
Developed and delivered internal training programs on key technologies including AWS, Terraform, and Content Delivery Networks (CDNs).

Developed and implemented a hybrid, personalized recommendation system for promotional offers, leveraging NLP, Collaborative Filtering, Content-based Filtering, Boosting, and Deep Learning techniques.
Engineered and deployed an OCR and NLP-based tool to accurately detect and identify brands on unlabeled product images.
Deployed an ABC classification solution (Pareto principle) and facilitated its integration by business teams through a Power BI application, enhancing data-driven decision-making.

Conducted in-depth data analysis and developed insightful dashboards using Power BI, Grafana, and HubSpot to monitor key metrics.
Automated data analysis processes through Python scripting and web scraping techniques, improving efficiency.
Established a containerized personal development environment using Docker, streamlining project setup and reproducibility.
Acquired extensive knowledge of the digital audio advertising landscape through data-driven insights and project involvement.

Conducted a market analysis of monitoring devices in New Zealand to select optimal solutions for measuring Indoor Air Quality (IAQ) and energy consumption in passive houses.
Performed detailed analysis of datasets originating from selected IAQ and energy monitoring devices.
Developed 3D building models using SketchUp and analyzed their energy performance with an Energy Building Modeling (EBM) suite (Euclid, OpenStudio, EnergyPlus).

Contributed to the finalization of a new product: an electric cross-country seat for individuals with disabilities, performing CAD design for approximately forty components using SolidWorks.
Utilized 3D printing to create product prototypes and conducted scientific tests to validate design and functionality.

Engineer Degree

Generalist Engineering School.

Master, Data Science

Specialization in Data Science.

Preparatory Classes (MPSI / MP*)

Intensive training in Mathematics and Physics.

Python

TypeScript

Rust

SQL