class SifunaCodex:

    def __init__(self):
        self.name = "Antony Sifuna"
        self.alias = "SifunaCodex"
        self.role = "AI DevSecOps Engineer"
        self.location = "Kenya 🇰🇪"
        self.company = "SifunaCodex"

        self.specialization = [
            "AI Engineering",
            "DevSecOps",
            "Cloud-Native Infrastructure",
            "Application Security"
        ]

        self.languages = [
            "Python",
            "JavaScript",
            "TypeScript",
            "Java",
            "C++"
        ]

        self.currently_learning = [
            "LLMOps",
            "AI Security",
            "Kubernetes",
            "Cloud Infrastructure",
            "Production Systems"
        ]

        self.interests = [
            "LLM Applications",
            "RAG Systems",
            "Secure AI",
            "CI/CD Automation",
            "Open Source",
            "Linux"
        ]

    def mission(self):
        return "Build intelligent, secure, and scalable systems that solve real problems."

me = SifunaCodex()

• 🤖 Build AI-powered applications — LLMs, RAG, and intelligent automation
• 🛡️ Secure software — AI security, DevSecOps, and application security
• ⚙️ Automate delivery — CI/CD pipelines, containerization, and cloud deployment
• ☸️ Orchestrate infrastructure — Docker, Kubernetes, cloud-native systems
• 🐧 Daily Linux user — Kali, Ubuntu, and everything in between
• 📚 Share knowledge — Through GitHub, technical content, and open source

Security should never be an afterthought. I integrate security at every stage:

PLAN → CODE → TEST → SAST → DEPENDENCY SCAN → BUILD → CONTAINER SECURITY → DEPLOY → MONITOR

Goal: Integrate security without sacrificing development velocity.

As AI moves into production, security must extend beyond traditional application security:

• 🛡️ Prompt injection prevention
• 🔒 Data leakage protection
• 🏗️ Secure RAG architectures
• 🔑 Model/API security
• 🧪 Input/output validation
• 🔐 AI application authentication
• 🧠 LLM application threat modeling
• ☁️ Secure model deployment
• 📦 AI supply-chain security

• 🚀 Build impactful open-source AI & DevSecOps projects
• 🛡️ Master AI security & LLM threat modeling
• 🤖 Deploy production-ready RAG applications
• ☸️ Achieve Kubernetes & cloud-native proficiency
• 🌍 Contribute to the cybersecurity community
• 💼 Secure an AI/DevSecOps Engineering role
• 🏗️ Build personal cloud infrastructure

AI Engineering → LLMOps → AI Security → DevSecOps → Kubernetes → Cloud Infrastructure → Production Systems

Masinde Muliro University of Science and Technology (MMUST) Bachelor's Degree in Computer Science & Software Engineering Currently: Third Year

Have a software, AI, automation, or security problem? Let's build it.

• 📧 Email: antonysifuna07@gmail.com
• 📱 WhatsApp / Call: 0723915661

"Build intelligent systems. Secure software. Automate delivery. Ship real systems."

SIFUNA CODEX AI · DEVSECOPS · SECURITY · SOFTWARE ENGINEERING