Carlos Pegueros is a Lead Machine Learning Engineer based in Mexico City with 11 years of experience turning software engineering rigor into production-grade ML products. He has a strong track record building config-driven ML libraries, real-time model integrations, and Spark-based data pipelines to scale NLP and customer-support solutions across countries without ballooning teams. Carlos blends research depth (MS in Physics) with full-stack engineering experience from IoT microservices to front-end and mobile, and he’s contributed to notable open-source tooling such as enhancements to a popular Python Twitter API wrapper. Known for instituting engineering best practices—automated docs, RFCs, unit testing, and ML deployment standards—he mentors teams to bridge data science and product needs. Pragmatic and curious, he also prototypes GPT-powered UIs to make models accessible to non-technical stakeholders.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Physics, Master of Science - MS Physics at Centro de Investigación y de Estudios Avanzados del IPN
Movildiad académica Ciencias de la Computación y Telecomunicaciones, Movildiad académica Ciencias de la Computación y Telecomunicaciones at KTH Royal Institute of Technology
Bachelor's degree Telematics Engineering, Bachelor's degree Telematics Engineering at Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas
Minimal python wrapper for Twitter's REST and Streaming APIs
Role in this project:
Back-end Developer
Contributions:7 commits, 2 PRs, 1 comment in 5 months
Contributions summary:Carlos primarily contributed to the Python-based Twitter API wrapper. Their work involved implementing new features for accessing Twitter API v2 endpoints, specifically focusing on retrieving user followers, following, and tweets. They added example implementations, updated the constants, and incorporated the functionality for retrieving data such as tweets. The user also enhanced examples to use a TwitterDev account, demonstrating the application of the new features.
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Carlos Pegueros - Lead Machine Learning Engineer at Nubank