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<!DOCTYPE html>
<html lang="en-us">
<head>
<link href="http://gmpg.org/xfn/11" rel="profile">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta http-equiv="content-type" content="text/html; charset=utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1">
<title>Waren Long</title>
<link rel="stylesheet" href="/main.css">
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<meta name="robots" content="index, follow">
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<body>
<script async src="https://use.fontawesome.com/72adc0539b.js"></script>
<script src="main.js"></script>
<div class="header">
<a href="/" class="name-link">Waren Long | Machine Learning</a>
<div class="header-right">
<a href="/talks.html" class="about-link">Talks.</a>
<a href="/publications.html" class="about-publications">Publications.</a>
</div>
</div>
<div class="content">
<h1 class="hello">Hello,</h1>
<div class="bio-content">
<img src="static/me_centered.jpg"/>
<div class="bio-text">
<p>
I'm Waren, a Machine Learning Engineer in charge of the Product at <a href="https://sourced.tech/" target="_blank">Athenian</a>.
This newly created start-up aims to speed up Sowtware Delivery and increase Code Quality by optimizing DevOps metrics.
Before that, I was working as a Software Engineer at <a href="https://sourced.tech/" target="_blank">source{d}</a>
where I've been applying NLP techniques to source code and other types of software artifacts
like Git metadata, CI logs or Docker images. The idea was first to gain better visbility into the code base
for then suggest actionnable insights to ease software development.
</p>
<p>
Occasionally, I write blog posts or research papers I publish
in the Data Mining or ML conferences I like.
I also love to speak in ML meetups or Python related conferences to share both
my latest work and my favourite open source librairies.
</p>
</div>
</div>
</div>
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