[{"content":"","date":"23 February 2026","externalUrl":null,"permalink":"/","section":"Odisor Tech","summary":"","title":"Odisor Tech","type":"page"},{"content":" I work with teams and organizations on a project-based or retainer basis, delivering end-to-end solutions across DevOps engineering, software delivery lifecycle automation, and Agentic AI. Every engagement is grounded in production-grade practices: version-controlled, auditable, and built to last. DevOps Services # Engineering-first DevOps built for security, scale, and reliability.\nFull Secured CI/CD Workflows Design and implement end-to-end CI/CD pipelines with security embedded at every stage. From automated testing and container scanning to secrets management, SAST/DAST integration, and compliance gates — pipelines that ship faster without compromising posture. GitHub Actions Azure Pipelines SAST/DAST Trivy OIDC Full Infrastructure as Code Provision and manage cloud infrastructure using Terraform, Ansible, and ARM Templates. Every resource is code-defined, git-versioned, and consistently deployable across development, staging, and production. Cloud-agnostic by design, Azure and AWS primary. Terraform Ansible ARM Templates Azure AWS Agentic DevOps Integrate AI agents directly into DevOps workflows. Autonomous code review agents that enforce standards, intelligent debuggers that diagnose and propose fixes, and SRE agents that monitor, alert, and self-heal infrastructure — reducing toil and accelerating incident resolution. Code Reviewer Agent Debugger Agent SRE Agent MCP SDLC Services # Accelerate the full software delivery lifecycle with structured environments and end-to-end automation.\nSandboxed Development Environments Design and provision isolated, reproducible development environments for engineering teams. Each developer gets a consistent, cloud-backed workspace — containerized, pre-configured, and connected to shared services — eliminating \"works on my machine\" problems and onboarding friction. Dev Containers GitHub Codespaces Docker Kubernetes Agentic SDLC End-to-end software delivery orchestrated by AI agents. From PRD through SDD, technical specification, test-driven development, CI/CD pipeline setup, and production deployment — each phase owned by a specialized agent, coordinated by an orchestrator, with human gates at critical milestones. PRD → SDD TDD CI/CD Multi-agent orchestration Claude Code Agentic AI # Custom AI agents and plugins, engineered for real-world operational contexts.\nCustom Plugins Development Build MCP-compliant plugins that extend AI agents with domain-specific capabilities — connecting agents to internal APIs, databases, monitoring systems, cloud control planes, and proprietary tooling. Designed for composability, security, and interoperability across agent frameworks. MCP Tool integrations REST/GraphQL Python Custom Agents Development Design and build autonomous agents tailored to your operational needs. From single-purpose task agents to multi-agent systems with A2A communication — agents that reason, plan, and act within defined boundaries, integrated with your existing infrastructure and workflows. A2A Protocol Agentic AI LLM integration Edge AI Let\u0026rsquo;s Work Together # If your team is dealing with slow, fragile pipelines, manual infrastructure, or wants to explore what AI agents can realistically do in production — I\u0026rsquo;d like to hear about it.\nGet in touch Connect on LinkedIn ","date":"23 February 2026","externalUrl":null,"permalink":"/services/","section":"Services","summary":"","title":"Services","type":"services"},{"content":"","date":"2 January 2026","externalUrl":null,"permalink":"/posts/","section":"Posts","summary":"","title":"Posts","type":"posts"},{"content":" ✓ Message sent! Thanks for reaching out — I'll get back to you soon.\nSomething went wrong. Please try again or email me directly at odisor@gmail.com. Get in touch Whether you're looking to consult on cloud infrastructure or agentic DevOps, discuss a technical challenge, or collaborate on a project — this is the right place to start.\nName Email Company Site | LinkedIn Profile Country Subject Message Send message ","date":"1 January 2026","externalUrl":null,"permalink":"/contact/","section":"","summary":"","title":"","type":"contact"},{"content":" I\u0026rsquo;m a Senior Engineer with over 6 years of hands-on experience in public cloud platforms — Azure and AWS — complemented by 15 years in the telecommunications industry spanning engineering and operations roles. I help teams ship with telco-grade uptime through cloud automation and robust DevOps pipelines.\nHolding a BSc in Electronics Engineering, I\u0026rsquo;m a Microsoft-certified Azure DevOps Expert and Azure Solutions Architect. My expertise centers on cloud automation and complex integrations, leveraged through Infrastructure as Code (Terraform and Ansible) and CI/CD pipelines (GitHub Actions and Azure DevOps).\nI decided to build this site not only to showcase my work, but also to share useful tips and solutions to problems I have dealt with over the years of professional work — hoping I can help and inspire others along the way.\nWhat I Do # Agentic DevOps Embed autonomous agents into delivery pipelines — from AI-assisted code review and self-healing deployments to agents that reason over incidents and drive remediation. Bridging classical DevOps tooling with emerging agentic patterns to build platforms that act, not just automate. Cloud Automation Design and operate automated cloud environments with security built in by default, leveraging infrastructure as code, hardened configurations, automated compliance, secure secrets management, and fine-grained RBAC to reduce risk at scale. Infrastructure as Code Design and implement reproducible, version-controlled infrastructure using Terraform, Ansible and CloudFormation. Every resource is code-defined, git-first, auditable and deployable consistently across development, staging, and production environments. Current Focus # I\u0026rsquo;m currently researching and building custom AI agents running on-premises, powered by open-weight models deployed on private infrastructure — keeping data sovereign, costs predictable, and latency low.\nMy focus is on the full stack: model serving with Ollama and vLLM, agent orchestration with LangGraph and n8n, and multi-agent coordination using the Agent-to-Agent (A2A) protocol. The goal is production-grade agentic systems that operate entirely within your own environment, with no dependency on external APIs.\nLet\u0026rsquo;s Connect # I\u0026rsquo;m open to collaboration and consulting opportunities.\nContact me LinkedIn Follow Me on X ","date":"1 January 2026","externalUrl":null,"permalink":"/about/","section":"About Me","summary":"","title":"About Me","type":"about"},{"content":" I am currently engaged in in-depth research and applied exploration of Model Context Protocol (MCP), Agent-to-Agent (A2A) Protocols and agentic AI architectures, with a specific focus on their implications for edge computing and distributed systems. This work sits at the intersection of artificial intelligence, systems architecture, and real-world infrastructure, where scalability, latency, resilience and autonomy are critical constraints rather than abstract concepts.\nMy research examines how modern AI agents can move beyond centralized cloud-bound models and operate effectively at the edge—closer to data sources, devices, and users. By leveraging agentic architectures, I am exploring how autonomous agents can reason, coordinate, and act across heterogeneous environments, even under limited connectivity or compute resources. Protocol-level design is a core area of interest: MCP enables structured context sharing and tool interoperability, while A2A protocols introduce standardized communication, negotiation and collaboration patterns between intelligent agents. Together, these paradigms offer a foundation for scalable, composable, and vendor-agnostic AI systems.\nA key component of this work involves exploring the capabilities of open-weight LLMs for network-constrained environments. This approach opens the door to AI-driven systems that can manage infrastructure complexity, optimize resource allocation, monitor anomalies, and respond dynamically to changing conditions in a decentralized manner, without constant human intervention.\nMy goal is to translate these emerging concepts into practical edge-native solutions — from intelligent monitoring and orchestration layers to self-healing infrastructure and decentralized decision-making systems. By combining protocol-level rigor with agent-based intelligence, I aim to design architectures that are not only powerful, but also transparent, modular, and resilient. This research reflects a broader commitment to building AI systems that solve meaningful, real-world problems, particularly in environments where reliability, efficiency, and autonomy are paramount.\nLet\u0026rsquo;s Connect # \u0026nbsp; Email me \u0026nbsp; Connect on LinkedIn \u0026nbsp; See my work on GitHub ","date":"1 January 2026","externalUrl":null,"permalink":"/projects/","section":"Current Initiatives","summary":"","title":"Current Initiatives","type":"projects"},{"content":" Privacy Policy # Last Updated: January 1, 2026\nThis Privacy Policy explains how Odisor Tech (\u0026ldquo;we,\u0026rdquo; \u0026ldquo;our,\u0026rdquo; or \u0026ldquo;us\u0026rdquo;) collects, uses, and protects your information when you visit our website.\n1. Information We Collect # We collect information you provide directly to us:\nContact Information: When you contact us via email, we collect your email address and message content Usage Data: We may collect information about how you interact with our website (through analytics) 2. How We Use Your Information # We use the information we collect to:\nRespond to your inquiries and communications Improve our website and content Send you relevant updates if you subscribe Understand how visitors use our site 3. Analytics # We use analytics tools to understand how visitors use our website. This information helps us improve our content and user experience. Analytics may collect:\nPages visited Time spent on site Device information Geographic location (general) 4. Data Security # We implement appropriate technical and organizational measures to protect your personal information against unauthorized access, alteration, or destruction.\n5. Third-Party Links # Our website may contain links to third-party websites. We are not responsible for the privacy practices of external sites. We encourage you to review their privacy policies.\n6. Contact Information # If you have questions about this Privacy Policy or our privacy practices, please contact us at:\n📧 Email: odisor@gmail.com\n7. Changes to This Policy # We may update this Privacy Policy from time to time. We will notify you of significant changes by updating the \u0026ldquo;Last Updated\u0026rdquo; date above.\n8. Consent # By using our website, you consent to our Privacy Policy.\nEffective Date: January 1, 2026\n","date":"1 January 2026","externalUrl":null,"permalink":"/privacy/","section":"Privacy Policy","summary":"","title":"Privacy Policy","type":"privacy"},{"content":"","externalUrl":null,"permalink":"/authors/","section":"Authors","summary":"","title":"Authors","type":"authors"},{"content":"","externalUrl":null,"permalink":"/categories/","section":"Categories","summary":"","title":"Categories","type":"categories"},{"content":"","externalUrl":null,"permalink":"/series/","section":"Series","summary":"","title":"Series","type":"series"},{"content":"","externalUrl":null,"permalink":"/tags/","section":"Tags","summary":"","title":"Tags","type":"tags"}]