John Machado
Artificial Intelligence Senior Engineer at Toyota North America
Dallas, Texas, United States
Summary
👤
Senior🎓
Top SchoolJohn Machado is an Artificial Intelligence Senior Engineer based in Dallas with six years of hands-on experience building cloud-native AI systems, MLOps pipelines, and full-stack applications. He has led and productionized ML solutions at startups and enterprise teams—designing autonomous GCP systems, deploying models on SageMaker, and integrating OpenAI Assistants for coordinated agent workflows. His work spans infrastructure as code, API design, and adversarial testing of models, reflecting a pragmatic focus on reliability and security in AI. Before engineering he competed professionally in Brazil and the MASL in the United States and today holds a 3rd-degree black belt in Brazilian Jiu-Jitsu, traits he credits for discipline and strategic problem solving. Notably, he helped an early clinical trial at UTSW by architecting data pipelines and autonomous job orchestration for sensor-driven biomarker analysis. He combines a developer-first mindset with operational rigor to deliver AI that moves from prototype to resilient production.
6 years of coding experience
5 years of employment as a software developer
General Studies, General Studies at El Camino CollegeComputer Software Engineering, Computer Software Engineering at Coding DojoComputer Science, Computer Science at Codecademy
Stackoverflow
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0reached
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Github Skills (33)
activation-function10
streamlit10
artificial-intelligence9
pytorch9
llm9
python9
large-language-models9
machine-learning9
backpropagation9
ai9
developer-tools9
gpt9
data-visualization9
data-analysis8
deep-learning8
Programming languages (4)
Github contributions (5)
JohnMachado11/RPA-Challenge
Jun 2021 - Feb 2025
RPA (Robotic Process Automation). Automating the extraction of user data from an Excel file and inputting it into a website with dynamically changing field positions.
Contributions:2 PRs, 8 pushes, 2 branches in 3 years 8 months
automationexcelroboticsrpa
JohnMachado11/Neural-Networks-from-Scratch-in-Python
Jun 2024 - May 2026
Building neural networks from scratch only with Python and NumPy. This covers coding neurons, layering them, using activation functions, calculating loss, backpropagation, and optimizing parameters.
Contributions:79 PRs, 70 pushes, 36 branches in 1 year 11 months
activation-functionbackpropagationneural-networknumpypython
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