Rodrigo Florencio, CEA — Postgraduate in Artificial Intelligence at POLI USP and Blockchain Dev |Crypto enthusiast since 2017| Generative Engine Optimization specialist at GenSearch Me |Product Manager with 7 years of experience
Postgraduate in Artificial Intelligence at POLI USP and Blockchain Dev |Crypto enthusiast since 2017| Generative Engine Optimization specialist at GenSearch Me |Product Manager with 7 years of experience
Rodrigo Florencio, CEA ranks #433 of 14,983 LinkedIn creators in Higher Education, and is a standout voice in Brazil. They have 3.8K followers and published 19 posts in the last 30 days at a 5.4% average engagement rate.
- 3.8K followers
- 19 posts / 30d
- 5.4% avg engagement
- — follower growth / 30d
The roast
Rodrigo is a Generative Engine Optimization specialist, which is just fancy LinkedIn talk for spending seven years practicing how to make AI hallucinate professional value where there is none. He claims to teach an MBA at FAAP, but the only lesson he’s mastered is how to curate a career as a glorified prompt engineer for his own ego.
About Rodrigo
AI Product Builder driven by curiosity and a strong bias for experimentation. I’ve always been self-taught and deeply curious about how things work. Today, with the rise of Large Language Models, I’m able to turn ideas into working systems quickly, building and testing continuously across different domains. What started as curiosity became both my work and my daily practice. I actively experiment with AI in real scenarios, building MCP servers, prototyping agent-based systems, and testing new models across text, voice, and multimodal interfaces. I closely follow the evolution of the field, exploring releases from models like Claude, Mistral, Qwen, and Gemma, and understanding their trade-offs in practice, including running open source models locally on constrained hardware. Professionally, I focus on applying AI where it creates real value. I have experience putting AI agents into production workflows, aligning business needs with engineering and security constraints. As Cofounder of VeeCee, I built an AI-driven platform used by 130+ investors and 260+ startups. At GenSearch, I develop systems to monitor and improve how AI models generate answers about brands in real environments. My work sits at the intersection of product, experimentation, and applied AI. I am particularly interested in making AI systems more reliable, more human-aware, and more useful in real-world decision contexts, while helping people interact with them in a more structured and rational way.
Highlights
- Top Engager — 5.42% rate · top 10%
- Consistent Creator — 19 posts in 30d · top 10%
- Top 10% in Brazil — Ranked #7 of 131 creators
- Top 10% in Higher Education — Ranked #12 of 166 creators
Recent posts
Em 2001, Steve Jobs tirou um iPod do bolso e disse: "a thousand songs in your pocket." Jensen Huang acabou de fazer a mesma coisa. Só que em vez de músicas, colocou um computador inteiro no bolso. A Nvidia lançou nos últimos dias o RTX Spark: um chip do tamanho de um cartão de crédito com GPU, CPU, AI, 128GB de memória e um petaflop de processamento. Pra comparar: em 2012, o supercomputador mais rápido do Japão tinha isso. → Roda agentes de AI direto na máquina. Sem nuvem. → Funciona desplugado sem perder desempenho. Quem acompanha o hype da AI sabe que o Mac Mini virou febre entre devs ro
32 reactions · 1 comments · 1 reposts
"You can run OpenClaw inside your company now." Annoucing our work with Microsoft to bring OpenClaw to the Microsoft and Windows ecosystems. Claws now work securly in the enterprise.
1.8K reactions · 90 comments · 153 reposts
Encerrei o dia no TokenNation falando sobre como monitorar e posicionar marcas nas respostas das IAs 😎🤖 Com foco no mercado farmacêutico, pude mostrar como os crawlers das IAs e até agentes encontram e decidem (ou não) falar sobre seu produto. Mostrei um case muito legal da visibilidade da EMS nas IAs, aproveitando a queda da patente da semaglutida (a molécula por trás do Ozempic).
21 reactions · 2 comments · 0 reposts