Francisco Lumbreras Arcos

Francisco Lumbreras Arcos Email and Phone Number

Sr Manager Machine Learning at Levi Strauss & Co. @ Levi Strauss & Co.
Francisco Lumbreras Arcos's Location
Madrid, Community of Madrid, Spain, Spain
About Francisco Lumbreras Arcos

Dedicated professional in ML and AI with solid experience across public cloud providers, with focus on GCP VertexAI and AWS Sagemaker integrations within production architecture. With a track record of driving innovation and fostering team growth, while preserving best architectural design principles. I'm dedicated to leveraging AI for transformative impact and unlocking business value. Passionate about technology, sports and mobility.

Francisco Lumbreras Arcos's Current Company Details
Levi Strauss & Co.

Levi Strauss & Co.

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Sr Manager Machine Learning at Levi Strauss & Co.
Website:
levistrauss.com
Employees:
10
Francisco Lumbreras Arcos Work Experience Details
  • Levi Strauss & Co.
    Sr Manager Machine Learning - Direct To Customer
    Levi Strauss & Co. Apr 2023 - Present
    San Francisco, California, Us
    Leading the machine learning engineering team responsible for GenAI and ML systems from prototyping to production on VertexAI. Defining the AI cloud strategy for Levi's Direct to Customer, aligning with business partners on prioritization and integration of new features related to model development and deployment. Ensuring safe application of Generative AI within our organization. Managing the development of an internal open-source sdk for AI operations at scale to reduce time to production, improve monitoring and enhance end-to-end architecture robustness.
  • Levi Strauss & Co.
    Machine Learning Engineering Manager - Digital Planning
    Levi Strauss & Co. Nov 2021 - Mar 2023
    San Francisco, California, Us
    - Recruited and led a team of 6 senior ML engineers to deliver production systems. - Implemented new architecture and design paradigms to modernize methodology and infrastructure of AI models within GCP and VertexAI- Drove the adoption of scalable serverless technologies for cost optimization and performance efficiency.
  • Amazon Web Services (Aws)
    Senior Machine Learning Prototyping Sa - Emea
    Amazon Web Services (Aws) Mar 2020 - Nov 2021
    Seattle, Wa, Us
    - Delivered and contributed to over 20 production architectural systems with AI at core within enterprise customers. - Lead and developed a team of 6 specialist AI Prototyping Architects.- Conducted over 30 interview loops as part of global AWS growth. - Contributed proactively to Sagemaker product roadmap and the creation of reference architecture models.
  • Amazon Web Services (Aws)
    Senior Prototyping Ml Architect - Global Accounts
    Amazon Web Services (Aws) Apr 2019 - Mar 2020
    Seattle, Wa, Us
    Executing technical engagements on Machine Learning with key Fortune 500 global customers across multiple industries, typically reaching key research and production teams (1000+ employees).
  • Continental
    Machine Learning Project Lead In Radar Sensing
    Continental Oct 2018 - Apr 2019
    Hanover, De
    > Leading machine learning development in the field of static environment recognition
  • Altran Deutschland S.A.S. & Co. Kg
    Artificial Intelligence Consultant
    Altran Deutschland S.A.S. & Co. Kg Jun 2017 - Sep 2018
    Neuilly-Sur-Seine, Fr
    > Development of simulation capabilities for automated driving.> Path planning and vehicle control for trajectory following.
  • Jaguar Land Rover
    Machine Learning Team Lead
    Jaguar Land Rover Jan 2016 - Jun 2017
    Coventry, West Midlands, Gb
    > Machine Learning applied to off road vehicle motion control and shift quality.
  • Jaguar Land Rover
    Vehicle Dynamics Engineer
    Jaguar Land Rover Nov 2014 - Jan 2016
    Coventry, West Midlands, Gb
    > Vehicle modelling by MBS and 1D differential equations and experimental correlation> SW development using Object Oriented Programming in both Matlab and C++
  • Nissan Motor Company
    Graduate Model Engineer
    Nissan Motor Company Sep 2013 - Nov 2014
    Yokohama-Shi, Kanagawa, Jp
    Complete vehicle quality Engineer in EV & LCV group.
  • Red Bull Racing
    Msc Thesis
    Red Bull Racing May 2013 - Sep 2013
    Milton Keynes, Gb
    Research project on Low Cycle Fatigue of High Strength Stainless Steel.

Francisco Lumbreras Arcos Skills

Automotive Engineering Matlab Simulink Machine Learning Vehicle Dynamics State Estimation C++ Python Ipg Carmaker Software Development Data Analysis Embedded Systems Algorithm Design Bayesian Statistics Mysql Object Oriented Modeling Data Mining Engineering Markov Decision Processes Microsoft Excel Stateflow Vector Canalyzer Team Leadership Simpack Canape Unix Simulations Automotive Catia Tensorflow Ros Project Management

Francisco Lumbreras Arcos Education Details

  • Cranfield University
    Cranfield University
    Automotive Product Engineering
  • Stanford University
    Stanford University
    Machine Learning
  • Universidad De Sevilla
    Universidad De Sevilla
    Engineering Mechanics

Frequently Asked Questions about Francisco Lumbreras Arcos

What company does Francisco Lumbreras Arcos work for?

Francisco Lumbreras Arcos works for Levi Strauss & Co.

What is Francisco Lumbreras Arcos's role at the current company?

Francisco Lumbreras Arcos's current role is Sr Manager Machine Learning at Levi Strauss & Co..

What schools did Francisco Lumbreras Arcos attend?

Francisco Lumbreras Arcos attended Cranfield University, Stanford University, Universidad De Sevilla.

What are some of Francisco Lumbreras Arcos's interests?

Francisco Lumbreras Arcos has interest in Civil Rights And Social Action, Science And Technology, Education, Arts And Culture.

What skills is Francisco Lumbreras Arcos known for?

Francisco Lumbreras Arcos has skills like Automotive Engineering, Matlab, Simulink, Machine Learning, Vehicle Dynamics, State Estimation, C++, Python, Ipg Carmaker, Software Development, Data Analysis, Embedded Systems.

Who are Francisco Lumbreras Arcos's colleagues?

Francisco Lumbreras Arcos's colleagues are Bella Chen, Anas Khaliq, Gemma Pavlov, Nick Rendic, Boraiee Mohamed, Alyssa Dasso, Tasya Rahmasari.

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