AI Product Engineer
humming from Paris
I'm an enthusiastic, thoughtful and humming (mostly bad songs) software engineer creating AIs that can collaborate with Humans, with the goal of making them actually useful.
Starting in 2006, my early work was focused on developing authoring tools enabling non-specialists to create directable AIs, such as crowds of virtual autonomous characters, for video games, simulation and special effects at INRIA, Golaem and then at MASA Group.
Building upon these experiences I've launched craft ai in 2015 with a few colleagues to implement a singular vision: help enterprises create and operate AIs that leverage their data while keeping humans, employees and end-users alike, in the loop.
As CTO, I've recruited a team of ~15 Engineers & PhDs and led them to research and develop innovative explainable AI algorithms, featured in peer-reviewed publications, design and operate a distributed and scalable cloud platform generating >100k predictive models per month, setup and support customers solutions integrating the engine.
Check out this podcast interview about AI
This interview was recorded for the french podcast IFTTD and published on the 04/03/2020.
For ~1h we discuss about AI basics, craft ai and my professional journey. This interview features my greatest hits including cosmonaut princesses, crisps supply chain and lots of stuffs...
AI & Biases 101 @ The Good AI
As soon as AIs started to be deployed in the “real world”, they started to be accused of being biased. Are AIs inherently racist or misogynistic, do they always support the status quo ? Recently, while exposing a weird background detection “bug” in Zoom resulting in the erasure of his black colleague’s head, Colin Madland found out a similar issue in Twitter picture cropping algorithm.
As always, the debate raged between people denouncing the bias in the algorithm and those stating the development team reproduced their own biases. In this article, I want to help you understand how AIs end up reproducing such biases and what can be done about that.
The 3 stages of Explainable AI
Let's talk about XAI, with Alfred, Batman's butler
I was very proud to be invited alongside Primavera De Filippi, Laurent Alexamdre, Emmmanuel Duez and Michel Serres by Orange Busines Services for "Hello! Business Talks" Humanité(s) Digitale(s) a TEDx-like event for their executive and top customers.
In this talk I expose - in french - my vision of AIs that work hand in hand with their users to provide seamless predictive experiences. It is about individual level self-learning, explainable AI and, yes, Alfred, Bruce Wayne's butler.