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Hi there ✌️,

I'm Axel. I graduated from Epita in 2018 and I have been passionated with Deep Learning 🚀 since then. My greatest satisfaction is to build AI products that improve people’s quality of life 💚.

I have worked both in AI research laboratories as well as in industry environments. I have a wide array of skillsets in computer science. More specifically, the depth of my knowledge is at its paramount in Deep Learning related fields. Especially in object detection, multi object tracking, object re-identification and pose estimation.

I have been maintainer for large scale Python projects. I take a particular attention to detail, especially regarding best practices and code design.

I've been using more and more cloud based solutions in the past few years as I recently build a complex annotation pipeline on GCP to streamline the process of data annotation and training deep learning models.

Reach out to my email if you want to discuss 😎.

Axel Mendoza's Projects

ml-cookbook icon ml-cookbook

The most important machine learning concepts in one document

ml-from-scratch icon ml-from-scratch

Implementation from scratch of the most used machine learning algorithms.

mlflow-template icon mlflow-template

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

one-click-mlflow icon one-click-mlflow

A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command

python-code-quality-ci icon python-code-quality-ci

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

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