Liliana Ponce is a Machine Learning Engineer based in Mexico City who brings 11 years of technical experience layered on a 15-year career in high-stakes event management for pharmaceutical, automotive, and cosmetics clients. She combines rigour in process design, budget negotiation and vendor management—where she delivered 20–25% cost savings and ran up to 250 events per year—with emerging ML practice, contributing educational Flux/Julia examples and dataloader patterns to an open-source model-zoo. Known for meticulous customer service and cross-level stakeholder engagement, she has led large congresses with academic accreditation and won industry recognition as meeting planner of the year. Her profile blends operational excellence and user-centered thinking with practical ML contributions, making her adept at turning complex, regulated requirements into reproducible technical workflows.
11 years of coding experience
6 years of employment as a software developer
Licenciatura, Administración de Empresas Turísticas, Licenciatura, Administración de Empresas Turísticas at Escuela Internacional de Turismo
Contributions:2 reviews, 20 commits, 8 PRs in 1 year 4 months
Contributions summary:Liliana primarily contributed to the model zoo by adding and updating examples related to deep learning models. They developed a dataloader example using the Flux library and MNIST data, demonstrating data loading and preprocessing techniques. The user also added literature backgrounds to several examples to provide additional context and educational value.
Contributions:16 PRs, 18 pushes, 15 branches in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.