François Le Lay Email & Phone Number

Setauket- East Setauket, NY, US

New York, US

Work From Anywhere, Remote, OO

San Francisco Bay Area, California, US

Kensu is an AI-driven data observability solution that offers companies the opportunity to monitor the health of their data pipelines at the source, therefore short-circuiting the downstream impact of incidents while providing huge productivity gains across the business and data engineering teams.- I led the company’s field engineering efforts for the US.

New York, New York, US

What The Farmer's Dog does: - Challenge the behemoths of the dog food industry- All about cooking for our dogs: fresh, human-grade meals, delivered to your door through a subscription.- Turning unconditional love into uncomplicated care!I led a group focused on data infrastructure, BI and data science, as part of a central Data, Strategy and Insights.

US

Hugging Face is leading the charge of open source AI:- by driving adoption of libraries such as transformers, peft, trl, and diffusers, to name a few.- by encouraging the use of the Hugging Face hub to host machine learning models- by offering optimzed inference services, either via an API, or a custom containerIn my short tenure, I am proud to have made a.

Stockholm, Stockholm County, SE

Observing the accelerated pace of innovation in NLP, I switched from the managerial track to the IC track, to sharpen my applied science skills. - I advocated for the use of LLMs (Large Language Models) to improve the representation of music entities (embeddings), with the goal to improve a data matching pipeline used to reconcile music tracks and.

Stockholm, Stockholm County, SE

I supported the growth of the company since its early days in the USA, by hiring and managing over 30 engineers and data scientists. My teams have built the mission-critical infrastructure that allows hundreds of engineers to iterate quickly, safely and at scale: - I supported the Analytics tooling squad, building with QlikSense & Tableau, on top of.

Paris, Île-de-France, FR

At some point in history, Viadeo was LinkedIn's biggest competitor in France and other emerging countries. In 2014, the group had a total membership base of over 50 million professionals.I was managing a full spectrum of data-related activities, from business analytics to behavioral CRM. In that context, I built the teams and tools that allowed Viadeo to.

London, England, GB

With 24 million registered members across 17 countries, PhotoBox.com is the european leader of the online printing, sharing and storage of digital photos.I was managing the group Business Intelligence team, and reporting to PhotoBox's CTO. We supported finance as well as local european marketing teams (UK, France, Germany, Italy, Sweden...).More precisely.

Paris, Ile-de-France, FR

Prior to its acquisition by Rakuten, PriceMinister was the third most popular e-commerce site in France (12 million visits/month, 4+ million members).My missions:- To participate in the deployment of modern corporate reporting infrastructure (Oracle Warehouse Builder, Oracle Database 10g, Business Objects) while developing and maintaining existing.

Zurich, Zurich, CH

Web development for e-business website ALAPAGE.COM (France Telecom). Developed "La Boutique des Salaries", an online website used by France Telecom's staff, using core PHP components initially developed for alapage.

Haarlem, ., NL

- Realized statistical studies on Lycos Tripod european customer base (over 6 million users), participated in customer scoring to help optimize costs reduction,- Developed Web-based corporate reporting dashboards to be used by european management,- Fully developed the Lycos Partnershop, a marketing platform used to improve sales of the Lycos Webcenter.

Le Chesnay Cedex, France, FR

Worked on database conception issues at french National Labs (IRISA Rennes). Subject: "Improving performances of nearest neighbor search through the use of statistical methods". Context: multimedia databases of highly dimensional feature descriptors. C++ coding.

Los Angeles, US

Worked for "Content Search and Access" R&D team, dealing with computer vision topics. Developed a video player with specific artifical intelligence engine that allowed real-time scene detection (internal use). Used Microsoft Visual C++ (MFC, DirectX). Understanding of specific markovian models used to perform scene detection.

Ms - Statistical Engineering Diploma, Statistics And Information Systems

Ms, Artificial Intelligence

Bs, Applied Mathematics

As, Physics, Mathematics, Computer Sciences, Earth Sciences