Benjamin Devèze Email & Phone Number
@thalesgroup.com
2 phones found area 397
LinkedIn matched
Who is Benjamin Devèze? Overview
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Benjamin Devèze is listed as Research Engineer at Myli, a with 26 employees, based in Greater Paris Metropolitan Region, France. AeroLeads shows a work email signal at thalesgroup.com, phone signal with area code 397, and a matched LinkedIn profile for Benjamin Devèze.
Benjamin Devèze previously worked as CTO at Art Data, Inc. and Founder & CEO at Knowledia. Benjamin Devèze holds Master Of Science Degree In Computer Science And Engineering, Specialization In Cognitive Science And Advanced Algorithms from Epita: Ecole D'Ingénieurs En Informatique.
Email format at Myli
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AeroLeads found 1 current-domain work email signal for Benjamin Devèze. Compare company email patterns before reaching out.
About Benjamin Devèze
Passionate about Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Search Engines willing to innovate and work on challenging projects that aren't available anywhere else and have a positive impact.15 years of experience in tech start-ups as 1st employee bootstrapping & scaling technology, product and team.Elasticsearch contributor since 2011.Technical reviewer for the O'Reilly book "Elasticsearch - The Definitive Guide".Interests:• Artificial Intelligence• Machine Learning, Deep Learning• Natural Language Processing (NLP)• Reinforcement Learning• Big Data• Scalable Search• Data Mining• Text Mining• Information Retrieval• Distributed Systems, High Availability, Scalability• Algorithms working on high-volume data• Teamwork• Tech News
Listed skills include Algorithms, Search, Data Structures, Elasticsearch, and 46 others.
Benjamin Devèze's current company
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Benjamin Devèze work experience
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Cto
Currenthttps://art.co
Founder & Ceo
CurrentTurn Data into KnowledgePowered by the Google Cloud for Startups program.Knowledia is a technology first company that delivers business insights mixing :- Knowledge Graph- Natural Language Processing- Advanced Acquisition & Extraction Technology- Enriched Textual Corpushttps://knowledia.comTechnology Demo: https://news.knowledia.comTechnical Stack: Google Cloud Platform, Python, Tensorflow, Elasticsearch, Kubernetes, Spark, Airflow, TypeScript, Next.js, React
Cto - Head Of Data Science & Ai
Clustree is an automated Human Resources recommendation platform leveraging Artificial Intelligence for career development and recruitment. Clustree has raised $12M.► Awards• HR Start-up of the year - 2015, HR Tech World Congress• Start-up of the year – 2015, L’Usine Nouvelle• Innovation of the year - 2016, French Ministry of Economy, Finances and Telecom ParisTech• Gartner Cool Vendor 2016• TOP 100 European startup - 2016, Wired• TOP 100 SaaS - 2016, Accel ► Contributions• 1st employee• Hiring of a high performing engineering team• Active role in fundraising success• Technical architecture conception using Python, Spark, Elasticsearch, Tensorflow, microservices orchestrated via Kubernetes on Google Cloud Platform to ensure auto-scalability & resiliency, CI, CD• Conception and development of distributed crawlers to build a corpus of 250M professional profiles & 50M job offers• Conception and development of taxonomies for skills, job titles, degrees, companies and schools• Conception and development of the data processing pipeline (normalization, enrichment, indexing)• Heading of the R&D department, scientific watch• Implementing & managing Machine Learning and Deep Learning projects involving NLP, Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Siamese Networks, Autoencoders to provide relevant recommendations for our customers using internal and external data
Cto
► Main achievements for Scoreflex (http://www.scoreflex.com) – SaaS for mobile games:• Design of the REST API handling players authentication, leaderboards, asynchronous multiplayer games, matchmaking, challenges, push notifications, news feed• Back-end and front-end implementation using Elasticsearch, Cassandra, PHP, RabbitMQ• Conception of the service-oriented architecture of the platform which is elastic on every layer and run on Google Compute Engine► Main achievements for Yakaz (http://www.yakaz.com) – social network of neighbors and vertical search engine for classified ads:• Conception and development of distributed crawlers processing millions of pages daily from more than 30,000 websites in 190 countries and 40 languages• Conception and development of a distributed analysis pipeline (language detection, classification, geolocation, indexing...) that process millions of documents daily• Conception and development of a generic unsupervised learning algorithm to automaticallyextract relevant parts of web pages (image, description, price, ...), robust to website changes,successfully tested on classified ads but could be applied to a wider scope of areas• Conception and development of algorithms for automatic geolocation and classification of queries• Conception and development of a real-time search module on top of Exalead• Conception and development of an ad hoc caching system based on Varnish• Resolution of scalability and performance issues allowing to serve 20 million pages daily with a 95 th percentile of less than 100 ms• Proof of concept of migration from Exalead to Elasticsearch
Intern
• Conception and development of an agent-oriented programming language for cognitive agents
Intern
• Conception and development of a Prolog library to deploy multi-agent systems• Development of a demonstrator showing distributed cooperation of unmanned aerial vehicles
Colleagues at Myli
Other employees you can reach at myli.io. View company contacts for 26 employees →
Aurélien Schiltz
Colleague at MyliRoujan, Occitanie, France
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VD
Valentine Douté
Colleague at MyliMarseille, Provence-Alpes-Côte D'Azur, France
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GC
Guillaume Cyr
Colleague at MyliMarseille, Provence-Alpes-Côte D'Azur, France
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CL
Chloé Le Gouee
Colleague at MyliFrance
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NS
Nolwenn Sagne
Colleague at MyliMarseille, Provence-Alpes-Côte D'Azur, France
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AM
Assafe Mohamed
Colleague at MyliFrance
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SG
Samuel Gibault
Colleague at MyliFrance
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NB
Nicolas Bottero
Colleague at MyliMarseille, Provence-Alpes-Côte D'Azur, France
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JP
Julie Passadori
Colleague at MyliMarseille, Provence-Alpes-Côte D'Azur, France
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Benjamin Devèze education
Master Of Science Degree In Computer Science And Engineering, Specialization In Cognitive Science And Advanced Algorithms
Master Of Science Degree In Computer Science And Engineering, Specialization In Artificial Intelligence & Decision
Bachelor'S Degree, Law
Frequently asked questions about Benjamin Devèze
Quick answers generated from the profile data available on this page.
What company does Benjamin Devèze work for?
Benjamin Devèze works for Myli.
What is Benjamin Devèze's role at Myli?
Benjamin Devèze is listed as Research Engineer at Myli.
What is Benjamin Devèze's email address?
AeroLeads has found 1 work email signal at @thalesgroup.com for Benjamin Devèze at Myli.
What is Benjamin Devèze's phone number?
AeroLeads has found 2 phone signal(s) with area code 397 for Benjamin Devèze at Myli.
Where is Benjamin Devèze based?
Benjamin Devèze is based in Greater Paris Metropolitan Region, France while working with Myli.
What companies has Benjamin Devèze worked for?
Benjamin Devèze has worked for Myli, Art Data, Inc., Knowledia, Fokonz, and Clustree.
Who are Benjamin Devèze's colleagues at Myli?
Benjamin Devèze's colleagues at Myli include Aurélien Schiltz, Valentine Douté, Guillaume Cyr, Chloé Le Gouee, and Nolwenn Sagne.
How can I contact Benjamin Devèze?
You can use AeroLeads to view verified contact signals for Benjamin Devèze at Myli, including work email, phone, and LinkedIn data when available.
What schools did Benjamin Devèze attend?
Benjamin Devèze holds Master Of Science Degree In Computer Science And Engineering, Specialization In Cognitive Science And Advanced Algorithms from Epita: Ecole D'Ingénieurs En Informatique.
What skills is Benjamin Devèze known for?
Benjamin Devèze is listed with skills including Algorithms, Search, Data Structures, Elasticsearch, Information Retrieval, Big Data, Distributed Systems, and Java.
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