Antoine Gallix

About me

A short intro

Links

Work

Cloud and Data Engineer at Infarm

2019-09 to 2021-01

I provided support for deploying machine learning algorithms in production by developing and maintaining a library of tools and framework for the data science team. The main working environment was Google Cloud Platform. Monitoring and predictive algorithms were packed in Docker containers and integrated with the rest of Infarm logistic and remote control platform with the database and process communication tools of GCP. Highlights Develop and maintain a library of functions and CLI tools to integrate with the databases Design a framework to deploy the algorithms in containers Schedule, operate and monitor the data solutions Tech Stack: Python, Pandas, Google Cloud Platform, Docker, SQL

Backend Developer at Infarm

2018-04 to 2019-09

Infarm is an indoor farming company that was in rapid growth, with a rapidly evolving operation model. The software team developed an internal application to coordinate the seeding, transplanting and harvesting operation on the company's distributed growing machine network. I was in charge of the backend part of the logistic service. Highlights Designing and planning data model evolution Developping and coordinating new features with the frontend team. Maintenance, Bug Fixing Tech Stack: Python, Flask, Postgresql, Heroku, Github

Machine Learning Engineer at CeleraOne (now Smart Steel Technologies)

2017-02 to 2017-08

CeleraOne started a new branch of business, that uses machine learning technologies to detect defects in the steel production industry. A new team was gathered and a pilot project was run for half a year. Highlights Exploratory analysis of the dataset Researching, implementing and evaluating different approaches Complex data processing, development of a common toolbox for research Tech Stack: Python, Pandas, Matplotlib, SciKitLearn

Backend Web Developer at CeleraOne (now Piano)

2016-04 to 2017-02

CeleraOne provided services for online publishing industry; various types of content access metrics and paywall functionalities. I was part of a team developing and maintaining the backend of the web application used by customers to configure the system. Highlights Development and maintenance of a backend and REST API Promoted good clean code practice, refactoring and documentation of a codebase with a heavy technical debt. Tech Stack: Python, Pyramid, Colander, MongoDB, Buildout, Git

Backend Web Developer at Predictive Farming

2015-06 to 2015-11

In an early stage startup, I started building the backend of a web application that manages agricultural data. Highlights Tech Stack: Python, Eve, Flask, MongoDB

Image Processing Engineer at Dx0 Labs

2013-08 to 2014-04

One of the products of DxO is image processing algorithms, that work on-chip on smartphones, to create the image from raw sensor data in real time. I worked on a comparative study of various algorithms on one of the steps of the image pipelinen. Highlights Tech Stack: Python, C++, Mercurial

Master Thesis Student Researcher at University of Granada - Signal Processing and Biomedical Application

2011-04 to 2012-03

Master Thesis Project. Application of image decomposition and machine learning techniques to classification of 3D brain scanner images Highlights Publication of the research in a peer reviewed journal

Skills

Python

Google Cloud Platform

Machine Learning

Data Science

Git

Education and Training