
Fabio Mendes Pio D Anunzio
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Fabio Mendes Pio D Anunzio
- 2 Jahre und 9 Monate, Aug. 2022 - Apr. 2025FI Group
Technical Consultant – IT Projects & R&D Tax Incentives
- Evaluated software and IT project documentation from corporate clients to assess eligibility for national R&D tax incentives (Lei do Bem). - Conducted technical alignment interviews with client software engineers to understand project scope, technical challenges, and architecture at a functional level. - Synthesized complex technical details into structured technical and economic reports submitted to the Brazilian Ministry of Science, Technology and Innovation (MCTI). - Applied foundational IT knowledge t
- 2 Jahre und 1 Monat, März 2020 - März 2022
IT Support Technician – Hospital Information Systems
MUNICIPAL EMERGENCY HOSPITAL ALBERT SABIN
- Provided daily first-line IT support to doctors and healthcare personnel using the web-based Hospital Information System (SOUL/MV). - Managed user accounts, system profiles, and access permissions directly within the hospital application interface. - Guided medical staff through system procedures, patient transfer workflows, and software navigation to prevent user errors during critical operations. - Performed initial troubleshooting for workstation hardware, connectivity issues, and local peripheral equi
- 4 Jahre, Jan. 2008 - Dez. 2011
Technical & Customer Support Specialist
Level One
- Provided end-user and customer support for networking hardware, including routers, switches, and network adapters. - Assisted customers with basic network setup and device configuration via web-based management interfaces. - Handled technical inquiries, customer service requests, and hardware troubleshooting.
Ausbildung von Fabio Mendes Pio D Anunzio
- 5 Jahre und 11 Monate, Feb. 2016 - Dez. 2021
Bachelor’s
Centro Universitário Fundação Santo André
Focus areas: Software development (Java), algorithms & data structures, databases (SQL), operating systems (Linux), software engineering. Capstone project: Java-based neural network framework; documentation produced with LaTeX/Overleaf. Repository: github.com/StackDev-TCC/framework-neural_network
Sprachen
Englisch
B1-B2 (Gute Kenntnisse)
Deutsch
A1-A2 (Grundkenntnisse)
Portugiesisch
C2 (Verhandlungssicher / Muttersprachlich)
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