Used an extremely simple Elo Rating algorithm to model student knowledge on an e-learning platform, which achieved higher scores than the baseline of state-of-the-art self-attentive knowledge tracing or gradient boosting algorithms (SAKT, SAINT+, LightGBM), while having significantly higher interpretability, and being much more adapted to a potential real-time production deployment.
Steve Majou
- Lyon, France
- 1 project
Over 5 years of experience building and deploying ML models in production. Specializing in EdTech, adaptive learning, recommendation systems, MLOps, with recent project experience in LLMs and NLP.
About
Over 5 years of experience building and deploying ML models in production.
Specializing in EdTech, adaptive learning, recommendation systems, MLOps, with recent project experience in LLMs and NLP.
Seeking to apply my expertise in model optimization and robust software engineering to solve challenging business problems.
- Joined November 2025
Skills· 13
Languages
- FrenchFluent
- EnglishFluent
- Spanish; CastilianBeginner
Industry experience
- Education
- Software & Internet
- Computers & Electronics
Projects · 1
Work experience
Data Scientist Intern · LaliloOct 2018 – Oct 2018 · 1 mo
Extracted, cleaned, and analyzed Lalilo student data; improved the existing adaptive-learning model (IRT) and implemented a new 3-parameter HIRT model, increasing AUC by 4%. Developed the new model in Python with gradient-descent optimization using TDD. Responsible for data components of student and class reports for parents and teachers; collaborated with pedagogy specialists.
Data Scientist - Adaptive Learning · LaliloOct 2018 – Dec 2023 · 5 yrs 3 mos
Designed and implemented a data pipeline for automated model training, reducing deployment time from 5 days to 3 hours. Led production launch and ongoing improvement of two new recommendation algorithms (CatBoost & ELO), improving AUC by 7%. Refactored back-end code: wrote clean, robust Python, and conducted regular reviews with Software Engineers. Collaborated on the redesign of transformer-based speech recognition system: model training, evaluation, and production deployment. Managed the adaptive-learning system redesign and performed literature reviews. Implemented 10,000+ tagged content lines to improve analysis of student answers and support data-driven EdTech decisions.
Education
Master's Degree - Internet, Services and IoT · ENSIMAG (NATIONAL SCHOOL OF COMPUTER SCIENCE AND APPLIED MATHEMATICS OF GRENOBLE)2015 – 2018
Software engineering, algorithms (Python, Java, C, Ada) Relational databases (design and implementation) Operating Systems, Networks and network security Software engineering project: creation of a compiler for a subset of Java
PREPARATORY CLASSES · CHAMPOLLION2013 – 2015
Advanced mathematics, statistics, physics & chemistry
Certifications and awards
Kaggle Competition - Gold Medal2030 – 2025
Advanced Python & Classification, Regression and Neural Network Algorithms2030 – 2025
DataQuest, ISLR, Advanced Python & Classification Courses2018
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