Abraham Montoya is a solutions engineer and PhD-trained computer scientist with eight years of experience building backend systems, data pipelines, and AI-driven developer tools. He has led teams and projects across fintech and mobility—from designing Python-based ETL and web-scraping orchestrators at Kavak to developing LLM assessors and crawling pipelines for application analysis at EPAM. Comfortable across AWS serverless and containerized stacks, he pairs production-focused engineering with deep research roots in deep learning and computer vision from Université de Bordeaux and Instituto Politécnico Nacional. Known for turning research-grade models into maintainable production services, he also brings hands-on ops experience automating database fleets and deployment workflows. Based in La Paz, Mexico, he blends technical leadership with a curiosity for extracting actionable signals from messy data.
8 years of coding experience
9 years of employment as a software developer
The National Polytechnic Institute of Mexico
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Université de Bordeaux
Bachelor's degree, Electronics Engineering, Bachelor's degree, Electronics Engineering at Tecnológico Nacional de México, Campus Culiacán
Account manager and transactions to generate custom balance emails.
Contributions:6 PRs, 86 pushes in 13 days
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