Dr. Daniel Olmedilla

Angestellt, Engineering Director, Facebook Inc
Menlo Park, United States of America

Fähigkeiten und Kenntnisse

machine learning
big data
data science
product management
distributed systems
R&D
artificial intelligence
business strategy
information retrieval
agile methodologies
analytics
data analysis
software development
data mining
semantic technologies

Werdegang

Berufserfahrung von Daniel Olmedilla

  • Current 6 years and 10 months, since Aug 2019

    Engineering Director

    Facebook Inc

    Supporting the Integrity efforts (9 teams, 100 engineers, covering Machine Learning, ML Platform, infrastructure and tooling) on products such as Ads, Pages, Jobs and Commerce at Facebook across Facebook family of apps (FB, Instagram, Messenger, Whatsapp)

  • 4 years and 8 months, Dec 2014 - Jul 2019

    Engineering Manager

    Facebook Inc

    Leading the Machine Learning and Optimization efforts in the Ads Integrity area

  • 5 years and 4 months, Sep 2009 - Dec 2014

    Independent Expert

    European Commission

    Experienced reviewer and evaluator for the European Commission, having evaluated proposals and reviewed projects in a number of ICT-related domains.

  • 1 year and 10 months, Feb 2013 - Nov 2014

    Vice President Data Science

    XING AG

    Leading the area of Data Science in the XING Social Network Platform, including strategy, data analysis and exploitation, as well as the exploration of new data products and services.

  • 1 year and 5 months, Sep 2011 - Jan 2013

    Senior Manager

    Deloitte

    Emerging Technologies Group, Strategy and Operations Consulting. Strategic assessment, to CXOs in top Spanish companies, on emerging technologies (e.g., Smart Cities, Mobile Payments, Big Data, Analytics, Social Media, Mobile and Ubiquity, Cloud) transversally and individually to all industries (e.g., finance, telco, retail, hospitality, public sector, energy).

  • 2 years and 11 months, Oct 2008 - Aug 2011

    Technology Expert (equiv. Division Head)

    Telefonica R&D

    Development of products in the areas of User Profiling, Business Intelligence, CRM and Personalisation, launched live for more than 30 million users in several European countries. Technology transfer and productisation of cutting edge research (e.g., data mining, social network analysis, big data scalable architectures, distributed algorithms, machine learning and artificial intelligence). Leading teams of up to 25 members. Yearly Direct Budget: over 3 millon €

  • 6 months, Sep 2009 - Feb 2010

    Associate Professor on Computational Theory & Artificial Intelligence

    Universidad Autónoma de Madrid

  • 6 years and 1 month, Sep 2002 - Sep 2008

    Researcher & Project Manager

    L3S Research Center and Leibniz Hannover University

    Basic and applied research in the area of Information and Communications Technologies. Leading teams of up to 8 members.

  • 1 year, Sep 2001 - Aug 2002

    Consultant and project manager

    PricewaterhouseCoopers Consulting (now IBM Global Services)

    CRM Vantive integration for satellite TV operator. Multichannel portal (Web, WAP and PDA) for telco operator. Leading teams of up to 8 members.

  • 10 months, Sep 2000 - Jun 2001

    Programming analyst

    Tecnología, Información y Finanzas (Grupo Analistas)

    Programming analyst (on-line information systems, financial computing components)

  • 4 months, Mar 2000 - Jun 2000

    Programming analyst

    Instituto de Ingeniería del Conocimiento (IIC)

  • 3 months, Jul 1998 - Sep 1998

    Programmer

    E.D.S. and Citibank

Ausbildung von Daniel Olmedilla

  • 2002 - 2010

    Computer Science

    Leibniz Universität Hannover

    Grade "ausgezeichnet" (summa cum laude) Title: "Policy Representation and Reasoning for Security and Trust Management in Distributed Environments"

  • 2001 - 2007

    Computer Science

    Universidad Autónoma de Madrid

    Grade "Summa Cum Laude" Title: "Realizing Interoperability of E-Learning Repositories"

  • 3 years and 9 months, Oct 1997 - Jun 2001

    Computer Science

    Universidad Autónoma de Madrid

    Average of 9 out of 10. Top five of promotion. Grades with highest honours (distinction, "Matrícula de Honor") in 10 out of 40 courses.

Sprachen

  • German

    B1-B2 (Gute Kenntnisse)

  • English

    C1 (Fließend)

  • Spanish

    C2 (Verhandlungssicher / Muttersprachlich)

  • French

    B1-B2 (Gute Kenntnisse)

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