Skilled bigdata and cloud architect, I specialise in digital transformation of complex computational chains. I am a strong believer of agile methods to optimise productivity while keeping a meaningful and sustainable work for the IT teams. Having worked in many different environments and with a large spectrum of collaborators and specialties, I think I am a good communicator that identifies and conveys importantes information in order to make the best decisions.

My mission is being a tech lead in a team maintaining and developing a hybrid bigdata platform used for the computation of different risk metrics of the bank as well as other financial analytics. The platform revolve around Dataiku servers connected to hadoop and kubertenes clusters, both on-premise and on an internal cloud.

My role convers platform governance and maintenance, development of applications for data ingestion and archiving, integration of new use cases, and user support.

Inside the GBSU/FRM department of Societe General, which is in charge of the industrialisation of the computation of regulartory and internal risk indicators, I was recruted as a technical architect in a transversal team of architects to assist the digital transformation of the FRM department dev teams to the Azure cloud and bigdata technologies.

My role was diverse. Mostly, I helped teams design their applications with the new technologies, following good practice and asserting the the respect of global compagny guidance. I also participated to transverse audits of all applications resilience. And during the second half of my mission I was dedicated to the initiation of the applications development and then to the setup of a stream of dev teams that developed and maintained central components of the computation chain of the CRR risk indicators.

As of April 2019, I was hired at Ingeniance as a bigdata architect consultant specilized in financial industry.

I was one of the initial IT of the ICA start up. We developed big-compute technologies and BI for financial risk analysis. We used all the new cloud tech that could help us leverage some very high computing and distributed data challenges.

My role was to be a leading architect of our solution, spanning from distributed computing to pricing of derivative products and financial metrics. One of my main specialty was to cope with all expertise of the companies. And as such, I had a central position regarding the design of the main computational workflow.

Since my time at the ICA, the company changed name (it is now called opensee) and also its main product to better target its client needs.

Integration of dataset from several provider, mixing of those data set, and development of web services for the xdata and Sifr project.

I worked on a research project to automate the extraction of root system architecture of plants from image sequences. This work was part of on the RhizoScan project. And I participated to the development of the RSML file format

Research

I participated on a project to study the measurement of paramecium ciliary beating from video.

Teaching

• class on Algorithmic to first year MASS student
• tutorial of Operating System
• tutorial of Unix system
• tutorial of Functional Programming in Scheme
• tutorial of Introduction to computer science

The goal of my research is to provide a metrological study comparing well-known algorithms to compute the optical flow of video sequences. In particular, we are interested by videos of plants motion (more specifically single trees) which represent particularly complex cases for image processing techniques. This work is part of a larger research project studying the bio-mechanics of plants. Here I focused on developing a method to study plant dynamics and structure using video data.

Through this project, I have coded the CR matlab toolbox containing a set of algorithms that allows the extraction of motion data out of video sequences. This toolbox proposes a user friendly interface designed to be used by scientists who are not specialized in image processing.

This post-doc is founded by the ANR research project Chêne-Roseau.

I have done a PhD at Evasion, INRIA under the supervision of Lionel Reveret. I studied methods to generate the motion for virtual plants. Two main approaches have been explored:

• Acquisition and reproduction of real motion from videos
• Real-time simulation of the tree response to wind load

Download:

• My thesis (english, ~ 5Mb, this version is still waiting for a few corrections)
• Attestation de réussite au diplôme (french)
• Rapports et procès verbal de ma thèse (french and one thesis report in English)