Dr. Daniel Olmedilla

Angestellt, Engineering Director, Facebook Inc

Menlo Park, Vereinigte Staaten

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

  • Bis heute 4 Jahre und 10 Monate, seit 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 Jahre und 8 Monate, Dez. 2014 - Juli 2019

    Engineering Manager

    Facebook Inc

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

  • 5 Jahre und 4 Monate, Sep. 2009 - Dez. 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 Jahr und 10 Monate, 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 Jahr und 5 Monate, 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 Jahre und 11 Monate, Okt. 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 Monate, Sep. 2009 - Feb. 2010

    Associate Professor on Computational Theory & Artificial Intelligence

    Universidad Autónoma de Madrid

  • 6 Jahre und 1 Monat, 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 Jahr, 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 Monate, Sep. 2000 - Juni 2001

    Programming analyst

    Tecnología, Información y Finanzas (Grupo Analistas)

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

  • 4 Monate, März 2000 - Juni 2000

    Programming analyst

    Instituto de Ingeniería del Conocimiento (IIC)

  • 3 Monate, Juli 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 Jahre und 9 Monate, Okt. 1997 - Juni 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

  • Deutsch

    Gut

  • Englisch

    Fließend

  • Spanisch

    Muttersprache

  • Französisch

    Gut

Interessen

Data scientists
big data
analytics
football
running
triathlon
tennis
dance (e.g. salsa)
travel

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