I'm Redouane Hadni, an AI Engineer based in Paris. I build end-to-end AI applications and production-ready ML systems, focusing on lightweight OCR, LLM-driven information extraction, and cloud deployments using Docker, an Angular frontend, and a Python backend. I enjoy turning complex data into practical tools that teams can actually use. In my recent work I contributed to a Research Internship at EPFL's RAO Lab where I developed a reinforcement-learning toolkit for multi-asset trading and built a crypto dataset; I also led the development of EasySubvention, a B2B SaaS platform for French SMEs with a polished frontend, robust backend, and Stripe subscriptions. I hold a Master of Science from EPFL and an engineering degree from ENSIMA Grenoble, with strong foundations in statistics, ML, and software engineering.

Redouane Hadni

I'm Redouane Hadni, an AI Engineer based in Paris. I build end-to-end AI applications and production-ready ML systems, focusing on lightweight OCR, LLM-driven information extraction, and cloud deployments using Docker, an Angular frontend, and a Python backend. I enjoy turning complex data into practical tools that teams can actually use. In my recent work I contributed to a Research Internship at EPFL's RAO Lab where I developed a reinforcement-learning toolkit for multi-asset trading and built a crypto dataset; I also led the development of EasySubvention, a B2B SaaS platform for French SMEs with a polished frontend, robust backend, and Stripe subscriptions. I hold a Master of Science from EPFL and an engineering degree from ENSIMA Grenoble, with strong foundations in statistics, ML, and software engineering.

Available to hire

I’m Redouane Hadni, an AI Engineer based in Paris. I build end-to-end AI applications and production-ready ML systems, focusing on lightweight OCR, LLM-driven information extraction, and cloud deployments using Docker, an Angular frontend, and a Python backend. I enjoy turning complex data into practical tools that teams can actually use.

In my recent work I contributed to a Research Internship at EPFL’s RAO Lab where I developed a reinforcement-learning toolkit for multi-asset trading and built a crypto dataset; I also led the development of EasySubvention, a B2B SaaS platform for French SMEs with a polished frontend, robust backend, and Stripe subscriptions. I hold a Master of Science from EPFL and an engineering degree from ENSIMA Grenoble, with strong foundations in statistics, ML, and software engineering.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

French
Fluent
English
Advanced

Work Experience

AI Engineer (R&D) at Lucca Paris
March 1, 2025 - May 1, 2025
Developed and deployed a full-stack end-to-end AI application for automatic analysis of administrative documents (sick leave certificates). Responsibilities included requirements analysis, evaluation of existing solutions and tools, system architecture, frontend development with Angular, and Docker-based deployment. Used lightweight OCR and an LLM on Google Cloud Vertex AI for information extraction. Generated a synthetic dataset to evaluate system performance; achieved 97% accuracy on sick leave documents, average response time 3s, and cost €0.20 per 1,000 documents.
Research Intern at RAO Lab, EPFL Lausanne
September 1, 2024 - February 28, 2025
Development of a Python reinforcement learning library to create, optimize, and backtest multi-asset trading strategies on historical intraday and daily data; evaluation using key metrics (P/L) and construction of a cryptocurrency database with prices, volumes, and market indicators.
AI Engineer - End-to-End AI Application at Self-initiated project
March 1, 2025 - May 31, 2025
Development of a lightweight OCR + LLM pipeline deployed on Google Cloud Vertex AI for automatic analysis of administrative documents (sick leave certificates); achieved 97% accuracy, 3s response time, cost ~€0.20 per 1,000 documents; Dockerized and production-ready.
AI Engineer at Self-initiated project
September 1, 2025 - Present
Ongoing enhancement of OCR/LLM pipeline, cloud deployment, cost optimization; ongoing experiments and production readiness.

Education

Master of Science - Exchange Programme at EPFL Lausanne, Switzerland
September 1, 2024 - February 1, 2025
Diplôme d'Ingénieur - Computer Science & Applied Maths at ENSIMA Grenoble, France
January 11, 2030 - December 2, 2025
Master of Science - Exchange Program at EPFL, Lausanne, Switzerland
January 11, 2030 - March 31, 2026
Engineering School - Computer Science & Applied Mathematics at ENSIMA G Grenoble, France
January 11, 2030 - March 31, 2026
Master of Science (Exchange Program) at EPFL
January 11, 2030 - March 31, 2026
Engineering School - Computer Science & Applied Maths at ENSIMA Grenoble
January 11, 2030 - March 31, 2026

Qualifications

Master of Science - Exchange Program
January 11, 2030 - March 31, 2026
Engineering Diploma - Computer Science & Applied Mathematics
January 11, 2030 - March 31, 2026

Industry Experience

Software & Internet, Professional Services, Education, Media & Entertainment, Computers & Electronics, Other