Axel Mendoza

Data Scientist

https://talent.gravityer.com/axel-mendoza

I'm a Senior MLOps Engineer with 6+ years of experience building production-ML systems. I write long-form articles on MLOps to help you build too!

Paris

Key Strengths

Demonstrated foundational understanding of machine learning algorithms through 'from scratch' implementations (Linear Regression, Naive Bayes, Decision Trees).
Experience with PyTorch for implementing ML models.
Exposure to MLOps concepts with MLflow and CI/CD for Python/ML projects.
Familiarity with CUDA C++ for performance-critical applications (image processing).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in fundamental ML implementations and MLOps. However, the breadth of technologies and project types is somewhat narrow for a senior Data Scientist role, focusing heavily on 'from scratch' implementations rather than diverse real-world applications or large-scale system contributions. The lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

prompt-engineering-hub

June 30, 2025 – Present

A prompt hub to help you get the most out of your favorite LLM by generating (or using ready-made) optimized prompts!

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terraform-mlflow

March 22, 2023 – March 27, 2023

terraform-mlflow — Dev.to repository

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mlflow-template

March 3, 2023 – May 10, 2023

This repository is a template to provide Continuous Integration (CI) for any kind of Machine Learning project using MLflow.

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python-template

February 20, 2023 – June 2, 2024

This repository is a template to provide Continuous Integration (CI) for any kind of Python projects

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Naive-Bayes-Classifier-from-scratch

September 1, 2020 – September 29, 2020

Naive Bayesian Classifier from scratch using PyTorch and analysis of alcohol consumption

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Decision-Trees-Ensembles-from-scratch

August 22, 2020 – September 29, 2020

Implementation of a decision trees and ensemble methods from scratch using PyTorch

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Multiple-Linear-Regression-from-scratch

August 14, 2020 – September 29, 2020

Multiple variable linear regression and PCA from scratch using Pytorch.

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Linear-Regression-from-scratch

August 11, 2020 – September 29, 2020

Linear regression from scratch using Pytorch.

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img-processing-cuda

October 22, 2017 – October 26, 2020

Implementation from scratch in CUDA C++ of image processing algorithms.

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Autonomous-RC-Car

June 18, 2017 – October 15, 2020

Autonomous remote-controlled car using Deep Learning

View Project

Key Strengths

Demonstrated foundational understanding of machine learning algorithms through 'from scratch' implementations (Linear Regression, Naive Bayes, Decision Trees).
Experience with PyTorch for implementing ML models.
Exposure to MLOps concepts with MLflow and CI/CD for Python/ML projects.
Familiarity with CUDA C++ for performance-critical applications (image processing).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Axel Mendoza

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit