DevOps Engineer | Cloud Automation Specialist ☁️ | AI Enthusiast 🤖 | Security Advocate 🔒 | Reliability Champion 🚀

I'm a dynamic and results-driven DevOps Engineer with extensive experience in cloud automation, Infrastructure as Code (IaC), and building robust CI/CD pipelines. My passion lies in developing scalable, secure, and highly available solutions for mission-critical systems, with an increasing focus on the intersection of AI with DevOps and Cloud technologies.

I thrive on building automation workflows, integrating APIs, and fostering collaboration across teams to deliver top-tier infrastructure and applications. My core philosophy is to seamlessly integrate development, operations, and security, ensuring systems are not just efficient but also inherently resilient and secure from the ground up.

I specialize in leveraging cutting-edge technologies, with a strong preference for open-source solutions, to architect and implement solutions that solve complex challenges and streamline operations. With a robust foundation in AWS, GCP, Azure, Terragrunt, Terraform, and Python, I excel at creating sophisticated automation that minimizes manual intervention and maximizes system reliability.

A significant part of my work involves designing infrastructure that rigorously adheres to stringent compliance and security standards. I'm experienced in managing and optimizing multi-cloud environments and on-premise solutions, including my personal homelab (powered by Proxmox), always aiming for consistency, cost-efficiency, and peak performance.

I am a firm believer in Agile methodologies and am dedicated to continuous learning and process improvement, especially in the rapidly evolving field of Artificial Intelligence.

• Practical experience in deploying and managing local Large Language Models (LLMs)
• Development of AI-integrated applications, including chatbots, Retrieval Augmented Generation (RAG) systems, and personal digital assistants
• Experience building custom AI server environments
• Exploration of multi-agent systems / conversational platforms

• Deep understanding of compliance and security frameworks and industry best practices
• Integrating security throughout the SDLC (SAST, DAST, vulnerability scanning, secrets management with tools like SOPS)
• Implementing secure configurations, infrastructure hardening, and robust Identity and Access Management (IAM)

• Expertise in utilizing monitoring tools and strategies to gather metrics, optimize performance, scalability, and cost-efficiency
• Implementing comprehensive logging and tracing solutions
• Defining and tracking Service Level Objectives (SLO) and Service Level Indicators (SLI)

My core competencies enable me to excel in these critical areas:

• 🔄 DevOps: Championing a culture of collaboration and efficiency through end-to-end automation, robust CI/CD practices, and meticulous IaC
• 🔐 DevSecOps: Embedding security and compliance as integral components of the entire development lifecycle, "shifting security left"
• ⚡ Site Reliability Engineering (SRE): Applying software engineering principles to infrastructure and operations problems to create ultra-scalable and exceptionally reliable software systems
• 🤖 Applied AI in Operations: Leveraging AI and ML to enhance DevOps/SRE practices, automate complex decision-making, and build intelligent operational tools

I'm deeply invested in exploring the practical applications of Artificial Intelligence and maintain a versatile homelab to fuel this passion and other tech experiments.

• Actively developing and deploying local Large Language Models (LLMs)
• Built and manage a custom AI server environment optimized for ML workloads
• Currently creating innovative AI-integrated applications: Chatbots, RAG systems, personal digital assistants, and multi-agent conversational platforms
• This hands-on experience directly supports my ongoing learning for the AWS Certified AI Practitioner certification

My personal homelab, running on Proxmox VE, serves as a dynamic sandbox for testing new open-source tech, refining DevOps/SRE strategies, hosting AI projects, and continuous learning.

• Terragrunt-Powered Infrastructure Automation: Reduced deployment times by 30%
• Advanced Python Automation for Cloud Operations: Reduced manual effort by 40% and achieved annual savings over $100K
• Compliance and Security Leadership: Successfully designed and deployed compliance-driven infrastructure solutions
• CI/CD Pipeline Optimization: Reduced deployment errors by 50% and significantly improved team productivity
• Enhanced System Reliability & Incident Response: Improved incident detection and response times by 30% using automated monitoring and alerting

• ✅ AWS Certified Solutions Architect – Associate
• ✅ AWS Certified Cloud Practitioner
• ✅ HashiCorp Certified: Terraform Associate
• ✅ Certified Kubernetes Administrator (CKA)
• ✅ Microsoft Certified: Azure Administrator Associate
• 🎯 Currently pursuing: AWS Certified AI Practitioner 🧠 – Actively deepening my expertise in AI/ML

I'm always open to discussing new challenges, innovative ideas, or potential collaborations, especially around open-source technologies, automation, cloud computing, Artificial Intelligence, and robust DevSecOps/SRE practices.