Michelle Díaz is a machine learning engineer and serial co-founder with a decade of experience translating computer vision and LLM research into production-grade systems and scalable ML frameworks. Based in Zurich, she has led rapid prototyping and deployment of RAG and CV solutions that slashed inference latency and accelerated time-to-market for industrial sensor and identity-verification products. She combines hands-on model engineering (transformers, PEFT, trl) with production orchestration—building CI/CD pipelines for chemometrics and real-time IoT analytics—and has led cross-border teams and stakeholder alignment without formal authority. A persistent community builder, she co-founded two nonprofits that empower over 2,100 learners and women in STEAM across LATAM through mentorship, workshops and Spanish ML content. Her background bridges rigorous academic training at ETH Zürich and practical product design dating back to early hardware/software prototypes for sports and health applications.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at National Polytechnic Institute
Diploma of Advanced Studies, Data Science, Diploma of Advanced Studies, Data Science at ETH Zürich
En este repositorio podrás encontrar TechnoLatinas talentosas.
Contributions:7 reviews, 6 PRs, 9 pushes in 9 months
podrrepositorio
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.