Summary
Nephtali Garrido-Gonzalez is a Data Science Specialist with 13 years of experience combining physics-trained rigor and quantitative research expertise to build ML-driven investment and product solutions. A two-time Mexican representative at the International Olympiad in Informatics, he moved from theoretical quantum information and a PhD path into industry roles at WorldQuant, Q.ai (Forbes), Kavak and as an independent Toptal consultant, delivering full-stack MLOps, cloud-native systems and production-grade models. He excels at translating complex data signals into robust, maintainable strategies and has a track record of keeping models in production under real-market constraints. Passionate about democratizing machine learning, he blends deep technical curiosity with practical business impact and enjoys classical singing, chess and street photography in his spare time.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Candidate Physics, Doctor of Philosophy - PhD Candidate Physics at University of Nottingham
Universidad Nacional Autónoma de México (UNAM)
Bachelor's Degree Engineering Physics, Bachelor's Degree Engineering Physics at Universidad Autónoma de Chihuahua
English, Spanish