Skip to content
View Maxkaizo's full-sized avatar
10 followers · 16 following
  • México

Achievements

Achievement: Pull SharkAchievement: YOLO

Achievements

Achievement: Pull SharkAchievement: YOLO

Block or report Maxkaizo

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 250 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Maxkaizo/README.md

Hi, I'm José Luis (Maxkaizo)

I am a Machine Learning Engineer focused on building scalable, reproducible, and production-ready ML & MLOps pipelines.
With over a decade of technical experience, I combine a systems-oriented mindset with business impact to deliver real-world AI solutions.

Featured Projects

  • Milk Price Prediction
    End-to-end MLOps pipeline with Prefect, MLflow, Evidently, and AWS Lambda. Includes drift monitoring, model registry, CI/CD, and batch + on-demand inference.

  • Predictive Maintenance
    Applied feature engineering, ML pipelines, and explainability techniques (SHAP, PDPs) to anticipate failures in industrial machines.

  • Brain Cancer Detection
    Brain Cancer Detection with CNNs.

  • Ecobici Data Engineering
    Complete data pipeline with Terraform, Kestra, dbt, and GCP to process public bike-sharing data and publish dashboards in Looker Studio.

Tech Stack

  • ML & MLOps: TensorFlow, XGBoost, MLflow, Hyperopt, Evidently
  • Orchestration & Data Engineering: Prefect, Kestra, dbt, Terraform
  • Cloud: AWS (Lambda, S3, ECR, API Gateway), GCP (BigQuery, Cloud Storage, Looker Studio)
  • Data & BI: Python, SQL, Power BI, Tableau

Certifications

  • AWS Machine Learning Engineer – Associate
  • Google Cloud Digital Leader
  • Microsoft Power BI Data Analyst Associate
  • ITIL 4 Specialist – Plan, Implement and Control
  • MLOps Zoomcamp (DataTalks Club)
  • Machine Learning Zoomcamp (DataTalks Club)

Always open to collaboration:
Let’s connect if you want to tackle complex data challenges, build production ML pipelines, or contribute to open-source AI projects.

Pinned Loading

  1. milk_price_prediction milk_price_prediction Public

    ML model deployment to predict milk price in Mexico based on historic prices

    HTML 2 1

  2. cdmx_ecobici_usage cdmx_ecobici_usage Public

    This project showcases the development of a complete batch data pipeline using open data from Ecobici CDMX. The main goal is to demonstrate end-to-end capabilities in orchestration, ingestion, mode…

    HTML 1

  3. mlzoomcamp_cp1 mlzoomcamp_cp1 Public

    This repository contains the implementation of a machine learning model designed to detect brain cancer using CT and MRI images. This project is part of the final capstone for the Machine Learning …

    Jupyter Notebook

  4. ---_-ML-Zoomcamp-2024 ---_-ML-Zoomcamp-2024 Public

    In this project, we will implement a Machine Learning model capable of predicting the probability of a student dropping out of the current academic cycle. This prediction will be based on various c…

    Jupyter Notebook 1

  5. pred_maint pred_maint Public

    This repository contains an end-to-end ML engineering solution for the Microsoft Azure Predictive Maintenance dataset. The goal is to predict whether a machine will fail in the near future, using a…

    Jupyter Notebook