Francisco Gaio
@franciscogaio
Multilingual student with strong service orientation and organizational skills.
What I'm looking for
As a 19-year-old Argentine-Italian student fluent in four languages, I am currently based in Paris’s 15th arrondissement. My diverse background and language skills allow me to connect with a wide range of individuals, enhancing my ability to provide exceptional service. I am immediately available for evening and weekend work, bringing a strong service orientation and organizational skills to any role.
My recent experience as a Stand Manager at the "Voyage au XIXᵉ Siècle" Exhibition has honed my abilities in customer service, logistics, and event coordination. I have successfully welcomed and assisted visitors, managed cash transactions, and organized stand logistics, ensuring a seamless experience for all attendees. Additionally, my academic pursuits in quantum physics have equipped me with significant hands-on experience in AI-driven simulations, further enhancing my analytical and problem-solving skills.
Experience
Work history, roles, and key accomplishments
Stand Manager
Voyage au XIXᵉ Siècle Exhibition
Apr 2025 - Present (1 year 2 months)
Welcomed and assisted visitors at the exhibition stand, handling cash transactions and reconciling receipts. Organized stand logistics including setup, restocking, and teardown, while promoting products and services.
Post-Baccalauréat Internship
Quantum Physics Laboratory (LAZER), UFRJ
Apr 2025 - Jul 2025 (3 months)
Studied Penning traps and simulated charged-particle time-of-flight using Python. Explored condensed-matter physics through Monte Carlo modeling and gained extensive AI experience.
Education
Degrees, certifications, and relevant coursework
Universidade Federal do Rio de Janeiro (UFRJ)
Internship, Quantum Physics
Completed a three-month post-baccalauréat internship at the Quantum Physics Laboratory (LAZER). Focused on studying Penning traps, simulating charged-particle time-of-flight using Python, and exploring condensed-matter physics through Monte Carlo modeling. Gained extensive hands-on experience with AI-driven simulations.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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