Fabrice Guillaume

Fabrice Guillaume Email and Phone Number

Engineering Executive with experience in Cloud and Machine Learning Engineering ► Ex Meta, CapitalOne ⫸ Passionate about Scaling Products and Platforms leveraging Cloud and AI @ JPMorgan Chase & Co.
Fabrice Guillaume's Location
Aldie, Virginia, United States, United States
Fabrice Guillaume's Contact Details
About Fabrice Guillaume

An innovative Technology Leader with 20 years of experience in Machine Learning, Software Engineering, Cloud Engineering and Big Data.Experienced with Startups (x2) and Larger size companies (x2)o CTO mind - able to operate at both strategic and tactical levels.o Experienced with Startups (x2) as a founding member and with Larger size companies (x2). Skilled at collaborating with all levels of the organization to drive key initiatives and achieve business objectives.o Team leadership: lead teams ranging from 20 to 80 people. Skilled in hiring/growing and retaining engineering talent, locally as well as in a distributed environment. o Guiding principles: Learn, Dive Deep, Gain Trust, Focus on Impact, Bias for Action, Deliver fast + learn + adapt, Have fun!Tech Experience:o In depth experience with the entire SW/ML Life cycle to build, launch and scale Consumer Mobile applications, Web enterprise applications and Big Data/ML cloud platforms.o AWS & ML: certified with AWS Machine Learning Specialty and Azure AI fundamentals - Leveraged various supervised and unsupervised algorithms such as: PCA, RCF, XGboost, SVM, KNN, K-Means, CNN, RNN, ... - leveraging AWS SageMaker, AI Services (XGboost, LinearLearner, Semantic Segmentation, Lex, Polly, Comprehend,...). - Familiar with NLP techniques (TF-IDF, NER, Topic modeling, RNN/LSTM, Knowledge graph/Spacy) - Familiar with Foundational models and LLM (GPT 3.5, GPT4)o AWS & Micro Services: Docker containerization, ECS/EC2, EMR/Spark, IAM, S3, Lambda, SQS, SNS,...o Hands-on experience with Python (preferred), Scala, Java, Bash scripting, Objective C and Co Open source: leveraging open source libraries and contributing back - authored a dimension reduction package in python: dimred.o Experience leading Contact Centers in the cloud with AWS ConnectTeam Experience: o Effective at recruiting and retaining Talent. Experience building highly performing cross functional teams composed of Data scientists, Data Engineers, SW Engineers, DevOps Engineers and Mobile Engineers o Experience managing local and offshore teams to bring to market innovative solutions o Product centric: working closely with product/UI/UX design and business teams and being "value" focused for our end users while addressing engineering constraints: reliability, scalability, security.. o Continually looking for ways to improve engineering processes and efficiency: all about Automation! o Empowering and enabling everyone in the team o Humble and actively listening to feedback

Fabrice Guillaume's Current Company Details
JPMorgan Chase & Co.

Jpmorgan Chase & Co.

View
Engineering Executive with experience in Cloud and Machine Learning Engineering ► Ex Meta, CapitalOne ⫸ Passionate about Scaling Products and Platforms leveraging Cloud and AI
Fabrice Guillaume Work Experience Details
  • Jpmorgan Chase & Co.
    Executive Director, Sr Director Of Ml Engineering
    Jpmorgan Chase & Co. Jun 2022 - Present
    New York, Ny, Us
    ML Engineering Leader responsible for the development of a Firmwide AI/ML Platform which streamline Model experimentation, deployment and governance.Delivered in particular key functionalities such as a MarketPlace to discover and contribute ML assets, a back-end orchestration and Entitlement Management along with the Web portal and SDK that streamline the user experience for Data Scientists.
    View
  • Salesintel.Io
    Fractional Cto
    Salesintel.Io Feb 2024 - Present
    Arlington, Virginia, Us
    Providing thought leadership on strategy for Machine Learning Engineering/Cloud/Big Data to keep scaling data volume while maintaining high data quality and cost effective infrastructurePrototyping new innovative solutions leveraging Machine Learning (LLM, NLP, Clustering,...)Mentoring Tech Leads and team members
    View
  • Salesintel.Io
    Advisor - Ml Engineering, Data And Technology
    Salesintel.Io Oct 2017 - Jan 2024
    Arlington, Virginia, Us
    CircleBack is powering up SalesIntel with up to date information about companies and individuals.Advising CEO and leadership team on strategy for Machine Learning Engineering/Cloud/Big Data to keep scaling data volume while maintaining high data quality and cost effective infrastructurePrototyping new innovative solutions leveraging Machine Learning (NLP, Clustering,...)Mentoring Tech Leads and team members
    View
  • Meta
    Ml Engineering Lead
    Meta Sep 2021 - Jun 2022
    Menlo Park, Ca, Us
    Managing ML Engineering Teams on Central Interest Graph, that powers interest based recommendations across various products (Instagram, Facebook,...). Lead in particular a Modeling and Labeling platform, with among key capabilities Author Topic classification
    View
  • Capital One
    Sr Director Of Ml Engineering - Center For Machine Learning
    Capital One Jan 2021 - Sep 2021
    Mclean, Va, Us
    o Leading 5 teams of ML Engineers and Data Scientists to build and scale MLaaS (Machine Learning as a Service) that enables the re-use at scale of Machine Learning Capabilities throughout CapitalOne, making it easy to experiment with various algorithms and modeling techniques, before easily productizing them without worrying about infrastructure, scale, resiliency and reliability.o Enabling many use cases across the company, with key focus on Anomaly detection, Change point detection, NLP as a Service , ML Model validation and Graph clustering.o Partnering with other teams to integrate MLaaS with our ML and Feature platforms and enabling new platforms and products to be built on top such as Monitoring Platform.o Authored an open-source Dimension Reduction Package: https://pypi.org/project/dimred/o Authored an article to help my fellow associates pass their AWS ML Specialty exam: https://www.capitalone.com/tech/machine-learning/advice-for-taking-the-aws-machine-learning-specialty-exam/
    View
  • Capital One
    Director Of Ml Engineering - Center For Machine Learning
    Capital One Jan 2019 - Dec 2020
    Mclean, Va, Us
    Main Tech Lead for MLaaS - Machine Learning as a ServiceSpearhead this initiative from product vision/roadmap, to architecture/design/implementation/launch and support. MLaas is SaaS solution turning model problems into End point solutions. Key use cases are Anomaly Detection on time Series, NLP Services, Model Governance to streamline and a particular focus on Model Monitoring and Explainability.- Key focus on "re-use" enabling ML capabilities to be easily re-usable by all CapitalOne associates, while remaining well managed- Act not only as a Tech Lead but also lead the Product vision and roadmap- Lead Technology/Data Teams and help mature POCs to become "enterprise" solutions- Partner with other teams to leverage and extend on existing solutions while building towards and enterprise ML platform- Focus on Micro-services architecture, AWS Cloud services, Machine Learning core components, Open and Inner sourcing, Big Data and Data Engineering, APIs and reactive Single Page Apps.- Help hire, mentor and retain Top Engineering and Data Scientist Talent- Tactically assist with code reviews and contribute to code when/where possible
    View
  • Capital One
    Director Of Software Engineering - Retail And Direct Technology
    Capital One Oct 2017 - Dec 2018
    Mclean, Va, Us
    Key focus: Amazon Connect - Contact Center in AWS CloudSpearhead and finalized the migration of 2,200 agents from legacy on-prem Contact Center to Amazon Connect, as part of our migration to the Cloud. As a result, 100% of CapitalOne retail calls now go through Amazon Connect and additional AWS services, with great audio quality and more intelligent call routing.Responsibility Areaso Innovation, Architecture and Delivery on emerging technology and operations for COF Retail and Directo Migration to the Cloud: Amazon AWS (EC2, S3, Serverless Lambda, RedShift, SNS, SQS,...)o Contact Center in the Cloud: Amazon Connect (first Company launching Connect in 2017!)o Machine Learning (Supervised and Unsupervised)o Micro Services / Serverless architectureo CI/CD and DevOpso Analytics / ELK Stack
    View
  • Circleback, Inc.
    Vp Of Data And Technology
    Circleback, Inc. Apr 2013 - Oct 2017
    Mclean, Virginia, Us
    Manage and lead a bright Engineering teams to build and scale consumer and enterprise products powered up by a Big Data/AI Engine in the Cloud.Report to CEO and interface to Product/Sales/Finance executives to mature and execute our strategy for our Products: Data, Web and Mobile Products.Responsibilities: - Lead Data Engineering/Data Science team to build a scalable AI powered Data engine to provide great data to our end users. Keep mining our data asset and innovate on top of it. - Lead Product Engineering team to build and support consumer Mobile applications (iOS, Android, Web) supported by a scalable and reliable cloud infrastructure - Manage Cloud Infrastructure (AWS, Dev/Ops and IT). - Keep maturing the Tech Stack adopting latest technologies that are the right fit for our needs and supported by a very active open community / Big Data Framework: Apache Spark, Kafka, Elastic Search, Scala/Java.. - Ensure all software projects are technically aligned and optimally positioned. - Foster and maintain close working relationships with all teams/stakeholders - Constantly improve the development process / Automation and KIS (Keep In Simple) focus - Grow and foster a culture of innovation, professionalism, quality, and engineering excellence. Encourage and promote creative thinking and problem-solving.- Conduct regular 1:1s. Coach and provide useful feedback to my direct reports and peers.Skills: - Profound understanding of and success with Agile product development and team management (offshore and onshore) - Strive at leading innovation and productizing/scaling features - In-depth experience in Big Data/Analytics/Data Science and Cloud computing - Thorough knowledge of client software development for iOS/Android Mobile and Web platforms - Supervised Machine Learning - NOSQL, Big Data, Analytics: Mongo, Vertica, Hadoop, Spark, MySQL - Data driven - Automation - Hands-on coding on Proof of Concepts: Scala, Java, Python, Objective C, SQL/NoSQL
    View
  • Comscore, Inc.
    Sr. Director - Product Engineering
    Comscore, Inc. Jul 2010 - Apr 2013
    Reston, Va, Us
    Following Nexius' acquisition by comScore, I kept heading up the Product Development, Agile Project Management and Quality Assurance :• Leading a group of about 80 employees and contractors in an international environment (offices and customers in North and South America and Europe/Middle East)• Managing the Program and Project management of several $Millions worth of Software projects (2011) to several Tier1 Wireless operators • Managing the Product Development, Quality Assurance and Delivery of Xplore Software solutions (Design, Development, TDD, QA and Deployment) • Responsible for the delivery on time and on budget of complete Xplore Software solutions (SW and HW, ETL/DB, BI and UI Tiers) • Introduced and maintained a lean delivery focused on quality and Value add (Agile Methodology / Scrum) • Matured the Software Development Life cycle towards a lean Agile delivery (Scrum) and focused the team efforts on Automation of Unit Tests (TDD) and Quality Assurance. • Matured the Configuration Management and Deployment activities to a fully automated Build and Delivery solution • Constantly looking for innovative architectures, designs, tools, technologies and methodologies and trying to improve our tools, processes and products. • Leading some product innovations efforts to allow our software solutions to mature towards new technologies and scale with large amount of users/data (Flex to HTML5, Laptop web based access to Mobile/Tablet, Relational/Multidimensional Database to MPP architecture,...)Software/OS environment: Objective C, .NET, Flex, C#, Vertica, Netezza, Hadoop, Geolocation (Geoserver, Oracle Spatial), Oracle 11g, Microsoft BI Stack 2008/2010SW Tools: Visual Studio, XCode, JIRA, Confluence, Accurev, Jenkins, SmartBear TestComplete and Load complete
    View
  • Nexius Wireless
    Director - Product Development And Innovation
    Nexius Wireless Jan 2008 - Jun 2010
    Frisco, Tx, Us
    Successfully exited Nexius with comScore acquisition, after having been among the first from when Nexius was founded.Lead the Product Development, Delivery and Support of our Xplore™ software solutions at Nexius, Inc:• Project managed over 10 projects for Tier1 Wireless Carriers in USA and Europe/North Africa: T-Mobile, Verizon, Sprint, Mobinil, Nedjma, Orascom,... as well as internal projects (Framework and Innovation)• Improved the product quality by introducing some new quality gates (pier code review and Unit Tests) in addition to our software functional testing. Promoted from Manager to Director on October 2008 after successfully delivering several projects on time and on budget.• Managed both the Framework code foundation and the Professional Services development efforts to customize the solution towards the customer needs and its custom data feeds.• Balanced the resource allocation between the business needs and the internal product roadmap deliverables. • Introduced and matured the Agile methodology and implemented the daily scrum/Iteration planning meetings and release retrospectives, all aiming at delivering iterative chunks of software that is fully functional and can be demo’d to the customer and even deployed it have enough value.• Fostered a culture of innovation and excellence and hired talented Software developers, testers and QA engineers from Europe, Middle East and South America. Hosted a lot of brainstorming sessions to experiment on new technologies to mature our platform. Personally contributed (design and coding) to building the back end foundation of Xplore (Oracle DB, Geospatial features and OLAP cubes).Software/OS environment: .NET, Flex, C#, Oracle 10/11g, Netezza, Microsoft SSIS/SSRS/SSAS 2005/2008SW Tools: JIRA, Confluence, AccurevNetwork/Telecoms environment: 3G/4G voice and Data (GSM, UMTS,CDMA, iDEN, EVDO,...)
    View
  • Nexius Wireless
    Senior Software Engineering Manager
    Nexius Wireless Jan 2007 - Dec 2007
    Frisco, Tx, Us
    Further scaled up both the team and the product to run at multiple customer's, on-prem.
    View
  • Nexius Wireless
    Software Engineering Manager
    Nexius Wireless Jan 2006 - Dec 2006
    Frisco, Tx, Us
    Hired and trained a small team to further productize our "Xplore" MVP and built it as a product with our first customer being T-Mobile.
    View
  • Nexius Wireless
    Senior Software Engineer Technical Lead
    Nexius Wireless Apr 2003 - Dec 2005
    Frisco, Tx, Us
    Consulted at Sprint to enable and scale Performance Management solution using Metric.Tech Lead a new initiative to build an MVP called "Xplore", as a way to query and render drive test data live on a map, based on signal strength by location.
    View
  • Hp (France)
    Software Engineer
    Hp (France) Jan 2001 - Apr 2003
    Houston, Texas, Us
    Telecom Software Engineer (Steria consultant) contributing to 2 Software development projects in Unix / C.• SIP project: Signaling Internet Protocol. Designed and developed in ‘C’ an asynchronous DNS resolver and integrated it to the SIP stack. Rewrote some C libraries functions and increased the resolution rate by 30%.• GSM-MAP USSD project. Designed and developed in ‘C’ a testing application that runs scenarios of calls to validate the USSD layer, newly integrated to the IN7 product from Compaq.Network/Telecom environment: GSM, SIP, SS7, TCP/IP, client-server programmingSoftware/OS environment: ‘C’, Unix Tru64 and Hp
    View
  • Steria (France)
    Software Engineer
    Steria (France) Sep 1998 - Jan 2001
    Paris, France, Fr
    Software Engineer working on Performance Management projects for Wireless Carriers in France (Cegetel) and in the USA (Sprint).- Collected requirements, designed, developed, tested, documented and released Metrica Software incremental releases to collect and display data from new network elements from Sprint vemdors: Nortel, Lucent...- Developed both back end and front end solutions on the Performance Management platformNetwork/Telecom environment: CDMA, trunks, circuits, RF cell, SS7Software/OS environment: Solaris 2.5, database, C-Shell, awk, Perl, Metrica NPR 2.4
    View

Fabrice Guillaume Skills

Agile Methodologies Software Development Scrum Telecommunications Software Project Management Software Engineering Agile Project Management Business Intelligence Unix Oracle Wireless Mobile Devices Enterprise Software Product Management Team Leadership Product Innovation C# Objective C Gsm Quality Assurance Olap Pl/sql .net Testing Test Driven Development Xcode People Development Atlassian Jira Sql Databases Shell Scripting Software Design Big Data Microsoft Bi Suite Software Quality Assurance Team Management Mobile Applications Jira Saas Etl Machine Learning Software Development Life Cycle Ansi C Data Warehousing Scala Java Python Big Data Analytics Cloud Computing Data Engineering

Fabrice Guillaume Education Details

  • Isep - École D'Ingénieurs Du Numérique
    Isep - École D'Ingénieurs Du Numérique
    Wireless Telecommunications
  • Civ (Centre International De Valbonne)
    Civ (Centre International De Valbonne)
    Mathematics And Computer Science
  • Lycee Renoir
    Lycee Renoir
    Physics Sciences And Mathematics

Frequently Asked Questions about Fabrice Guillaume

What company does Fabrice Guillaume work for?

Fabrice Guillaume works for Jpmorgan Chase & Co.

What is Fabrice Guillaume's role at the current company?

Fabrice Guillaume's current role is Engineering Executive with experience in Cloud and Machine Learning Engineering ► Ex Meta, CapitalOne ⫸ Passionate about Scaling Products and Platforms leveraging Cloud and AI.

What is Fabrice Guillaume's email address?

Fabrice Guillaume's email address is fa****@****one.com

What is Fabrice Guillaume's direct phone number?

Fabrice Guillaume's direct phone number is +170372*****

What schools did Fabrice Guillaume attend?

Fabrice Guillaume attended Isep - École D'ingénieurs Du Numérique, Civ (Centre International De Valbonne), Lycee Renoir.

What skills is Fabrice Guillaume known for?

Fabrice Guillaume has skills like Agile Methodologies, Software Development, Scrum, Telecommunications, Software Project Management, Software Engineering, Agile Project Management, Business Intelligence, Unix, Oracle, Wireless, Mobile Devices.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.