Software Engineer 👨🏽‍💻 | @oracleace | Speaker 🎤 | Java, Spring, Jakarta EE, DevOps, Terraform, Docker, Kubernetes, Jenkins, AI | @javanoroeste

São José do Rio Preto, Brasil
Joined February 2025
ThrillhouseBot 0.7.0 is out 🚀 Secret/IaC scanning, CI + linked issue context, review learnings, smarter per-call prompt routing, webhooks, and much cleaner follow-up reviews. All opt-in. No new GitHub App permissions. github.com/devops-thiago/Thr… #CodeReview #DevTools #Quarkus #Java #Langchain4j
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Yay! My first contribution to @QuarkusIO was merged! Thanks @brunobat_ @omatheusmesmo_ for all the help walking this through! #quarkus #java #opensource
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Can’t believe, after a long review process and back and forth and rejection I finally released my first macOS app, #SiliconShip is an native app for Apple container runtime apps.apple.com/us/app/silico… #applecontainer #containerruntime #applesilicon #containers #macos #devops #developer
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turns out shipping code makes you a 89-rated baller. who knew. get scouted → gitfut.com/devops-thiago #GitFut
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ThrillhouseBot v0.1.1 is live! 🚀 I cut false positives, added smart CI waiting, and fixed tracking for force-pushes. Reviews are now cleaner and safer. Update your setup & let me know! 🔥 #ThrillhouseBot #Quarkus #CodeReview #Java #AI
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Proud to announce I've been promoted to Oracle ACE Pro! Thanks for @oracleace for this recognition. I’ll do my best to keep up the work sharing and contributing to this awesome community. #OracleACE #OracleACEPro #Oracle #Java #JavaCommunity #TechCommunity #Milestone
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Running local LLMs sounds great until your 32GB VRAM 5090 can’t fit a decent model at full precision. Quantize it? Accuracy drops. Big context? KV cache eats your memory. Benchmarks don’t show this reality. Cloud models still win for most users. #LocalLLMs #AI #LLM #VRAM
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Okay, I ended up buying an entry-level M4 Mac Mini with 16GB of RAM to test this AI hype on a Mac. I will share the details with you soon. #macos #ai #ollama
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What if I could have my own LLM server? So I bought the entry version of Mac Mini M4 version 16GB RAM and turned it into an LLM server, I will use primarily for inference and coding, let’s see how it goes #Programming #SoftwareDevelopment #DevOps #LLM #AI #OpenSource
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