Francesco Murdaca

EO Cloud Application Engineer at EUMETSAT

Darmstadt, Hesse, Germany

About

I love Open Source and I'm passionate about Space, EO, Software and Artificial Intelligence.

Experience

  • EUMETSAT (3 yrs 11 mos)
    • Cloud Application Engineer
      Sep 2024 - Present · 1 yr 11 mos

    • Junior Cloud Application Developer
      Sep 2022 - Aug 2024 · 2 yrs

      Within the User Support and Climate Services (USC) Division, the Junior Cloud Application Developer will support the development and the users of EUMETSAT’s emerging cloud-based services. This will include the following: - Support the usage of the European Weather Cloud (EWC) and related hosted processing services, and thereby deepen community understanding of applied cloud computing in meteorology and adjacent disciplines; - Work with EUMETSAT’s users on implementing their existing applications in the cloud, on taking full benefit of cloud technologies by making the applications “cloud native” and enhancing collaboration opportunities through shared platforms and tools; - Explore the best ways to apply modern cloud techniques (from simple containerisation to serverless computing) to Earth Observation data processing problems, with the aim of helping the community modernise through working examples and direct assistance; - Help EUMETSAT’s users to share commonly-applicable parts of their applications in the form of how to-articles, code examples, infrastructure configurations, etc. to foster community development; - Take part in training courses, hackathons and other community-oriented means of spreading practical knowledge to EUMETSAT’s Member States.

  • Red Hat (3 yrs 3 mos)
    • Senior Data Scientist, Senior Software Engineer
      Oct 2020 - Apr 2022 · 1 yr 7 mos

    • Software Engineer, Data Scientist
      Feb 2019 - Oct 2020 · 1 yr 9 mos

      Data Scientist, Software Engineer in the Artificial Intelligence Centre Of Excellence (CoE) and Office of the CTO at Red Hat

  • PHD Student at University of Strathclyde
    Jan 2018 - Jan 2019 · 1 yr 1 mo

    My research will focus on the development of a Design Engineering Assistant (DEA), an expert system, that will enhance and ease the work of the experts in the early phases of the space mission design during sessions in a Concurrent Design Facility (CDF). The research will make use of techniques in the field of Natural Language Processing, Deep Learning, Neural Networks, Ontology Learning, Knowledge Management, Knowledge Discovery. The project is in collaboration with ESA, space companies (Airbus, RHEA Group, satsearch) togheter with another PhD Student in the frame of the Network/Partnering Initiative (NPI) of ESA.

  • Intern at ESA/ESTEC
    Jul 2018 - Dec 2018 · 6 mos

  • Intern at Deimos Space
    Oct 2016 - Apr 2017 · 7 mos

    MSc Thesis, C&DH subsystem design tool for Concurrent Design Facility