John Euko

Joao Paulo Euko

MLOps Engineer

Specializing in machine learning operations, infrastructure automation, and cloud-native solutions

70% Cost Reduction
90% Pipeline Speed
3+ Years Experience

About Me

I'm an MLOps Engineer focused on building and optimizing scalable machine learning infrastructure. I specialize in designing efficient ML pipelines, implementing robust CI/CD workflows, and developing cloud-native solutions that ensure seamless model deployment and monitoring.

Academic Background

Master's Degree

Master's in Computer Science with focus on Machine Learning and Artificial Intelligence

Publication

Stock Market Prediction: Integrating Explainable AI with Conv2D Models for Candlestick Image Analysis

Published in WorldCIST 2024 Conference Proceedings, Lecture Notes in Networks and Systems

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Areas of Expertise

MLOps

Building and optimizing scalable ML pipelines, with extensive experience in GitHub Actions for automated testing, deployment, and ML workflow orchestration.

Cloud Computing

Deploying and managing applications on cloud platforms, implementing containerization with Docker, and orchestrating with Kubernetes.

CI/CD Specialist

Expert in GitHub Actions workflows, automating ML model deployment pipelines, and implementing robust continuous integration and delivery practices.

Machine Learning

Developing and deploying ML models with automated training and evaluation pipelines, focusing on reproducibility and scalability.

System Integration

Connecting and optimizing systems across different platforms, implementing efficient data pipelines and automated workflows.

API Development

Creating robust FastAPI endpoints and RESTful services, with automated testing and deployment through GitHub Actions.

Personal Infrastructure

Personal Kubernetes Cluster

A self-managed 7-node Kubernetes cluster running on bare metal, featuring 1 master node and 6 worker nodes. This setup demonstrates hands-on experience with container orchestration and infrastructure management.

Master
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Worker 6

Open Source Contributions

Astral UV

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Featured Projects