CTO (Data and Product)

• Jun 2023 - Present

Head of AI and Data and Team lead (Lead data scientist)

• Sep 2021 - Jun 2023

As Team lead (70%): - Creation and management of the AI and Data team from the scratch: hiring 5 Data Scientists, Analysts and Data Engineers, defining both the team internal working dynamics based on Agile methods (first Kanban, now Scrum) and the interactions with other teams within the platform team. - The AI and Data team developed 7 new AI services, using CV, Recommender models and heuristics. 5 of them have been deployed in Production. - As an IC (Individual Contributor), developing small POCs based on AI/ML techniques (for example, using ChatGPT's API to automatically generate customised tests), and creating the tools to deploy ML services into production. - Enrolled and passed a 6 months internal leadership program. As Head of AI and Data (30%): - Defining with the board the AI/ML strategy of the company, aligned to the internal stakeholders. - Defining and leading the new insights layer of the company, combining Data lakes and Data warehouses. This was a combined effort between different teams (AI and Data, DevOps and BizOps) defined and led by me. Show less

Senior Machine Learning Engineer

• Jul 2020 - Jul 2021

In charge of the deployment of robust and performing ML models in production (full lifecycle), focused on: - applying MLops design patterns - code quality and model performance (KPIs) - deployment (Docker, Kubernetes, Kubeflow, Seldon) - validation (QA) - live feedback data (both functional and non-functional) In charge of the deployment of robust and performing ML models in production (full lifecycle), focused on: - applying MLops design patterns - code quality and model performance (KPIs) - deployment (Docker, Kubernetes, Kubeflow, Seldon) - validation (QA) - live feedback data (both functional and non-functional)

Machine Learning Engineer

• Sep 2018 - Jun 2020

Decision making for the self-driving car. Use of Deep learning models to predict the trajectory of the surrounding cars using the minimal possible information (i.e. unconstrained point cloud data) Decision making for the self-driving car. Use of Deep learning models to predict the trajectory of the surrounding cars using the minimal possible information (i.e. unconstrained point cloud data)

Ph.D. Student | Robotics and Artificial Intelligence

• Nov 2014 - Apr 2018

The goal of the thesis was to endow a Baxter robot with the capacity to perform a task adapting its actions to its environment. We developed a method combining a probabilistic framework (Bayesian networks) with dynamical systems to generate the adapted actions. The goal of the thesis was to endow a Baxter robot with the capacity to perform a task adapting its actions to its environment. We developed a method combining a probabilistic framework (Bayesian networks) with dynamical systems to generate the adapted actions.

Teaching Assistant

• Jan 2015 - Oct 2017

Teaching duties part of the PhD enrollment. Teaching duties part of the PhD enrollment.

Masters Thesis Project

• Mar 2014 - Sep 2014

The main objective of the project was the gathering of information about the objects within the environment of a robot, which can serve as input of a predictive model (as a neural network, Bayesian network, etc). Therefore, an agnostic exploration of the environment was executed, using the intrinsic motivations of the robot. The exploration was driven by the search of novel positions of these objects, using Lehman and Stanley's Novelty Search. The experiment was performed by a simulated PR2 robot, and also tested in the real robot. This work was a bridge between developmental robotics and evolutionary robotics, performed at the ISIR (Institut des Systèmes Intelligents et de Robotique), Université Pierre et Marie Currie, Paris 6. The output of this work has been used as the foundation of the my current PhD. Show less

Technical coordinator / Researcher

• Jan 2012 - Sep 2013

On the one hand, my role was related to the definition of the functionalities of a research project. Namely describing the future needs a final user may have in an environment, as a supermarket or a smart city. On the other hand, as part of the technical coordination my duties were related to the definition of the technical aspects of a project (analysis, design, architecture, technical guidance, etc.), representing the project in meetings and making related presentations. Also participating in proposal preparations, leading/helping with the ATOS' inputs. I have been involved in several European projects:- Future Internet (FI-PPP) program, willing to define a toolbox of software modules easy-to-integrate and deploy by SMEs in their developments:-> FIspace - Use Case willing to develop a B2B platform (Phase 2 of the FI-PPP)-> SmartAgriFood - Use Case based on the agrifood sector (Phase 1 of the FI-PPP)-> Member of the FI-PPP's Architecture Board, in charge of leading the program from a technical point of view- CoCities - SmartCities project providing transport related services into different citiesOn the other hand I am involved in several proposals, leading/helping with the ATOS' inputs. Show less

Project manager

• Oct 2012 - Mar 2013

As project manager my duties are:- Effort analysis - Budget estimation and adjustment- Team task distribution- Risk management- Internal following meetings

Research And Development Engineer

• Nov 2010 - Jan 2012

Junior Researcher

• Mar 2010 - Oct 2010

Internship

• Oct 2008 - Jul 2009

Computer instructor

• Jan 2003 - Sep 2008

Webpage designer

• Jan 1998 - Jan 2005