Lucas Moda
Staff Machine Learning Engineer at Udemy
Paraíba, Brazil
Summary
👤
Senior🎓
Top SchoolLucas Moda is a Staff Machine Learning Engineer with about a decade of experience turning complex data into scalable, production-ready ML systems, with deep expertise in AWS, Python, Scala and Spark. His background in astronomy and scientific programming gives him a strong foundation in numerical simulation and large-scale problem solving, which he applies to build robust APIs, optimized data pipelines and MLOps platforms. He has driven major impact at fintech and consumer companies—scaling a credit-limit platform from 10M to 120M users and cutting experiment errors from 30% to under 0.1%—while creating documentation and frameworks that accelerate cross-team productivity. An instructor with three beginner-friendly Udemy courses, he combines teaching and mentorship with hands-on delivery, having been the first ML engineer to stand up MLOps at multiple organizations. Recently he’s been exploring AI engineering—LLMs, RAG, prompt design and agents—to embed retrieval-augmented and generative solutions into production workflows. Based in Paraíba, Brazil, he’s a lifelong learner who channels curiosity from astronomy to language study into pragmatic, elegant systems that deliver measurable business results.
9 years of coding experience
8 years of employment as a software developer
English, English at California State University, FullertonHigh School, High School at Colégio Pentágono PerdizesBachelor’s Degree, Astronomy, Bachelor’s Degree, Astronomy at USP - Universidade de São PauloPlanetary Astronomy and Science, Planetary Astronomy and Science at University of Hawaii at Manoa
English, Spanish, Portuguese, German, Italian, French, Russian, Japanese, Sign languages, KoreanProgramming languages (2)
Github contributions (5)
lukmoda/genetic-algorithm-NFL
Nov 2020 - Oct 2022
Contributions:4 commits, 4 pushes, 3 branches in 1 year 11 months
lukmoda/electronic_clock_facial_recognition
Mar 2020 - Apr 2020
A Flask app to register employee's entrances and exits via facial recognition. MongoDB used for storage.
Contributions:4 PRs, 17 pushes, 1 branch in 28 days
pythonzoneminderflask-appflaskrecognition
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