Jose Rivera-Rubio

I am a Data Science professional that can deliver solid engineering solutions across many areas of the Data and AI spectrum. I can work as a Data Scientist, Data Engineer or Machine Learning Engineer, but more importantly, I bring experience from each of these disciplines to be able to accomplish end-to-end Data Science solutions. From developing Machine Learning algorithms to creating complex, Big Data-ready ETL pipelines to deploying Machine Learning as a Service, I can take a project from idea to API and deploy this to the cloud.

I am currently the Data Engineer at Launchpad Recruits, , where as part of the Data Team I take care of very large datasets including video, review data, platform events, etc. applying multiple big-data and machine learning techniques to help talent and hiring managers make faster, more consistent and fairer hiring decisions.

At Launchpad, and previously at Intern Avenue, I worked in multiple Data Science projects, involving image processing and computer vision techniques, NLP, statistical analysis, sentiment and personality insights and data visualisation amongst others.

Specifically related to data engineering I work setting up scalable data stacks and pipelines requiring knowledge in infrastructure (Linux, containers and VMs), databases (from classic relational to distributed databases), distributed processing engines (Apache Spark), cloud deployments (CI tools, AWS) and dashboard/notebook tools (Jupyter, Apache Zeppelin), mainly using Python at the algorithm and application level, but adapting to the platform demands.

Previous to my Data Science/Engineer roles I obtained my PhD from Imperial College London, where I worked within the BICV group in computer vision, image and signal processing, machine learning and pattern recognition.

My PhD thesis focused on the design and development of appearance-based algorithms for extracting distinctive information for two main computer vision applications: object recognition and visual localisation. My main contribution to the field is a biologically-inspired visual localisation algorithm that uses appearance-based methods to model place cell behaviour and artificial neural networks to estimate locations.

Previously, I graduated from Imperial College London (MSc Biomedical Engineering), and from the University of Seville (MEng Electrical and Electronic Engineering) with 1st class honours.

  • Computer Vision & Image Processing
  • Artificial Ingelligence
  • Machine Learning
  • Big Data & Cloud Computing
  • Pattern Recognition

Education & Qualifications

  • 20152011

    PhD in Computer Vision and Machine Learning

    Imperial College London. Biologically Inspired Computer Vision Group. Supervised by Dr Anil A. Bharath

  • 20112010

    MSc Biomedical Engineering

    Imperial College London, Overall mark of 71% awarded the top mark (A) in 7/11 subjects

  • 20092003

    MEng Electrical and Electronic Engineering

    University of Seville, 1st class. Specialised in Computing, Signal Processing and Radiocommunications

  • 20122012

    International Computer Vision Summer School

    University of Catania, Italy

  • 20092009

    Mobile Communications Expert Course — Technologies and Mobile Applications: GPRS/UMTS

    University of Seville and Vodafone Spain Foundation

  • 20031999

    Secondary studies and Spanish Bachillerato

    IES Albero College, Physics, Chemistry, Maths, Biology, plus History, Spanish, English, French and Technical Drawing at the A2 equivalent level. Grade: 9.2/10

Honors, Awards and Grants

  • 2019-2020
    Innovate UK - Experimental Development Open Grant Competition
    LaunchPad Recruits was awarded close to £200,000 to create a scalable platform for taking Predict to the TB
    scale, I was a contributor of the grant writing and project team.
  • 2017 - 2018
    Innovate UK - Industrial Research Open Grant Competition
    Award of more than £230,000 to build a Proof of Concept of Predict, Member of the project team and contributor to
    the grant submission.
  • 2014
    Imperial College Trust Conference funding
    Conference funding to enable College students to attend conferences to which they have been invited to present their research.
  • WACV 2014
    IEEE WACV conference travel grant
    Funding for travel to Colorado, USA, to present at the 2014 IEEE WACV conference.
  • 2013
    EPSRC V&L Net Pump-Priming 2013-1 Grant
  • 2011-2014
    EPSRC PhD studentship
    Awarded one of three studentships among more than 120 candidates by the Imperial College London Department of Bioengineering.
  • 2010
    Erasmus grant, European Commision
    This grant funded my placement at a UK-based company.
  • 2007 - 2008
    SICUE/SENECA Scholarship, Spanish Education Ministry
    Scholarship and bursary to spend my MEng 5th and final year in Carlos III University of Madrid, Spanish top university in Computing.
  • 2003
    Best performance award, Andalousian Regional Government
    Awarded with a best performance prize at college level and granted funding of first year tuition fees at university.

Contact information

I would be happy to talk to you if you are interested in research collaboration projects or for professional opportunities. Also, please do contact me if you have any questions or comments on papers and projects I have co-authored.