Summary
Javier Rosales is a Senior Data Scientist based in Montreal with a decade of experience turning retail and HR data into production-grade ML solutions. He blends a strong software engineering foundation from a MASc at Polytechnique Montréal with hands-on expertise in data engineering, ETL, time series, recommendations, and human-assisted RL for LLMs. Javier has driven end-to-end projects at Groupe Dynamite, Airudi, Outlier and now BDC, often owning architecture, backend development and deployment of models in production. His background in security and sysadmin work informs a pragmatic, ops-aware approach to building scalable data products. Passionate about GNU/Linux, information security and continuous learning, he often bridges research and applied engineering to deliver measurable business impact. An atypical mix of AI research training and full-stack engineering makes him especially effective at turning prototypes into reliable services.
10 years of coding experience
5 years of employment as a software developer
IT Research, IT Research at Université de Montréal - École Polytechnique de Montréal
Master of Applied Science in Software Engineering, Information Technology, Master of Applied Science in Software Engineering, Information Technology at Polytechnique Montréal
Ing Cibernética, programacion, sysadmin, redes, control, seguridad, desarrollo, Ing Cibernética, programacion, sysadmin, redes, control, seguridad, desarrollo at Universidad La Salle, A.C.
English, Spanish, French