RICARDO DE's 简历

RICARDO DE

Instructor – Tactical Force, Military Police

男

38 岁

其它

住在阿拉伯联合酋长国

国籍巴西

简介

Brazilian Jiu-Jitsu Black Belt with 25 years of competitive experience and 10+ years of coaching at professional and tactical levels. Seven years as a Black Belt competitor with multiple international titles. Experienced in high-performance athlete development, competition strategy, and tactical combat training. Currently serving as Head Coach for the UAE National Guard/ARMY project, leading structured programs focused on discipline, performance, and elite-level results.

工作经历

Instructor – Tactical Force, Military Police
Palms Sport - United Arab Emirates
2023.01-至今
(3 年)
Lead and structure high-performance Jiu-Jitsu programs for National Guard personnel, focusing on tactical application, competitive excellence, and physical conditioning. Brazil|3Years Delivered tactical Jiu-Jitsu and close-combat training for Military Police special units, emphasizing real-world defensive scenarios and operational readiness. Brazilian Jiu-Jitsu Coach 10+ Years Coaching Experience Coached athletes from beginner to elite competition level. Developed structured curriculum systems and prepared competitors for national and international championships. 🥇SELECTED COMPETITIVE ACHIEVEMENTS • Beach Wrestling – Open Masters Abu Dhabi • Two-Time South American Champion • International Champion – CBJJE • World Champion NO-GI – CBJJE • Copa Podio Champion (Prestigious Professional Title) • Multi-Time Santa Catarina State Champion – Brazil • Competitor – Jiu-Jitsu No-Gi World Championship (January 2023) • Grand Slam Rio de Janeiro Champion – 2023 • Selected Athlete – 2023 Brazilian Jiu-Jitsu Championship

教育经历

UNIP
Computer Science
2005.01-2009.11
(5 年)
is the study of computation, information, and automation, spanning theoretical foundations like algorithms to practical applications such as software engineering, AI, and cybersecurity. It blends engineering, mathematics, and logic to solve complex problems, developing technologies ranging from mobile apps to AI-driven systems