I'm a DevOps Engineer with a strong focus on building reliable, scalable systems and integrating AI/ML solutions into real-world products. Over the years, I’ve worked across diverse environments—from enterprise-scale Kubernetes clusters to event-driven cloud platforms—helping teams streamline deployments, reduce operational complexity, and deliver smarter applications. Whether it’s optimizing CI/CD pipelines, managing infrastructure-as-code, or integrating AI-powered workflows, I bring a practical and security-focused mindset to every challenge.
- DevOps & Infrastructure Engineering I design and automate cloud-native environments across GCP, Azure, AWS, and on-prem systems using tools like Terraform, OpenTofu, Helm, and ArgoCD—prioritizing security, observability, and maintainability.
- Scalable CI/CD I build reliable deployment pipelines for both monorepos and microservices. These solutions reduce manual overhead, lower operational costs, and accelerate software delivery while maintaining stability and control.
- AI/ML Engineering I apply machine learning and large language model frameworks—such as LangChain, Semantic Kernel, and TensorFlow—to practical challenges like content recommendation, retrieval-augmented generation (RAG), and intelligent CLI tools (e.g., kubectl-ai). My focus is on building explainable, useful, and production-ready systems.
- Languages & Frameworks I work with Go, Python, Rust, C++, Flutter, FastAPI, Cobra, Viper, and more—selecting technologies based on their suitability to the task rather than trends.
📁 Check out my repo; Algorithms
