Fundraising Fox

Oscar Alsing Ferreira

Investor

Lead Engineer at Sprints Capital

Stockholm, Stockholm County, Sweden

Contact· self-published, not guessed

Experience

  1. SprintsLead Engineercurrent2024 — presentStockholm, Stockholm County, Sweden
  2. Self-EmployedSoftware Engineercurrent2015 — presentStockholm
  3. BoappaTech Lead2021 — 2024Stockholm, Stockholm County, Sweden
  4. NoraCo-Founder2024
  5. KodkompisCo-Founder2017 — 2022Stockholm, Sweden
  6. Östersjösten AktiebolagSenior Software Engineer (Consultant)2020 — 2021
  7. Hem Design StudioSenior Backend Developer (Consultant)2020 — 2021
  8. Hem Design StudioDirector of Technology & Information2019 — 2020Stockholm, Sweden
  9. Hem Design StudioHead of Technology & Information2018 — 2019Stockholm, Sweden
  10. Hem Design StudioTech Lead2018Stockholm, Sweden
  11. Storm CommerceAPI Designer (Consultant)2020 — 2021
  12. BontouchMachine Learning Master's Thesis2018Stockholm, Sweden
  13. THS ArmadaProject Manager2015 — 2017Stockholm, Sverige
  14. EricssonSoftware Developer2015 — 2016Stockholm, Sweden
  15. KodcentrumProgramming Tutor2014 — 2015Stockholm, Sverige
  16. MECCA BrandsData Scientist Internship2014Melbourne, Australien

Skills & more

Programming42Project Management37Artificial Intelligence5Machine Learning6Web Development12GO9Enterprise Risk Management5Teaching10Statistics7Team Building10Artificial Neural Networks5Sales3
+12 moreNetworkingSocial SkillsPublic SpeakingLeadershipTeam LeadershipTeamworkTeam MotivationJavaLinuxAngularJSC++C

From Oscar's professional profile.

Colleagues at Sprints Capital

Frequently asked questions

Who is Oscar Alsing Ferreira?
Lead Engineer at Sprints Capital
Where does Oscar Alsing Ferreira work?
Oscar Alsing Ferreira is Lead Engineer at Sprints Capital.
Where did Oscar Alsing Ferreira go to school?
Oscar Alsing Ferreira studied at KTH Royal Institute of Technology (Master of Science (M.Sc.), Computer Science | Machine Learning); Monash University (Bachelor of Science (B.Sc), Computer Science); Stanford University (Machine Learning).

Same school

Shared employers