Generating UUIDs at scale on the Web

After my PhD thesis in statistics, I joined the AdTech industry in 2012. My main focus today is to manage the Teads DSP datascience team in order to solve various business related Machine Learning challenges. This position leverages my experience with Hadoop and Spark acquired at Criteo and Teads, my mathematical background and my understanding of the AdTech world.

I help Teads giving sense to billions of events a day, by building an Analytics platform capable of transforming and storing this data. Other than the scale at which we operate, my main challenge is to serve meaningful insights to a multitude of different users in a timely manner. Before moving to Montpellier, I worked on search, payment engines at Viadeo in San Francisco and Paris.

I’ve worked at different components at Teads including analytics and big data platforms. My main focus now is building production machine learning systems. Working alongside with data scientists, I combine my knowledge of software engineering, distributed system and machine learning to help scaling our ML pipelines and experimentation platforms.

Software engineer with a preference for the back-end side, I’ve been working on the SSP at Teads since its beginning and we had to face a fairly large number of technical challenges along the way. We grew a lot as a team and I’m learning how to make this impactful service scale properly with our growing business every day. I’m also responsible for our Scala trainings and I like to share on what I have been discovering during my journey.

As Teads’ co-founder, I’ve spent countless hours nursing and leading our Technology from 0 to $400M in revenues. Nowadays I’m using my entrepreneurial experience and industry knowledge to lead the data initiative at Teads.

Full Stack Engineer and Scala addict working in the Performance feature team.

Leading the Engineering Sustainability initiative at Teads, working on estimating the carbon footprint of our infrastructure

Engineering Manager – Infrastructure Team

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