I'm a Backend / Systems / DevOps Engineer with over 4 years of experience designing and automating scalable infrastructure across cloud-native and hybrid environments. I'm passionate about enabling AI/ML workflows, building robust CI/CD pipelines, and pushing the limits of what reliable systems can do.
- Building resilient backend systems with CI/CD and GitOps workflows
- Automating cloud infrastructure with Terraform, Ansible, and Kubernetes
- Develop and optimize search systems using tools like Typesense, OpenSearch, and vector embeddings
- Design robust APIs and backend services for real-time apps, chatbots, and e-commerce platforms
- Empowering data science teams with scalable, secure AI platforms
- Observability and monitoring across hybrid environments with Prometheus, Grafana and the ELK stack
- Exploring search engineering, large language models (LLMs), and backend optimization
- Engineered CI/CD pipelines using GitHub Actions, accelerating AI service delivery by 36%
- Led migration to hybrid Kubernetes (on-prem + AWS EKS) using Terraform and ArgoCD
- Built centralized monitoring with Prometheus and Grafana for real-time compute and storage tracking
- Designed scalable LLM-serving architecture using vLLM + Kubernetes with secure API access and Okta integration
- Configured Bare Metal and VM servers in a remote on-prem datacenter with Ansible, improving deployment speed and consistency
- Constructed
- Deployed bare-metal Kubernetes using RedHat OKD, with full networking + storage stack setup
- Built real-time observability platform with Flask backend and Vue.js frontend for hybrid AI infrastructure
- Automated server provisioning with Ansible across on-prem and VMWare ESXi
- Deployed home lab on Proxmox, integrating WireGuard VPN, TrueNAS, and RHEL VMs for RHCSA prep
- Built internal tools and monitoring services for operational excellence
| Area | Tools |
|---|---|
| Languages | Python, Bash, Go, JavaScript (Vue.js), C++, Java, Kotlin |
| Infra & Cloud | Kubernetes (EKS, kubeadm, OKD), Docker, Terraform, AWS, Azure |
| Automation | Ansible, GitHub Actions, GitLab CI, ArgoCD, Helm |
| Monitoring | Prometheus, Grafana, ELK Stack |
| AI/ML | Hugging Face, vLLM, SageMaker, Ollama, Codename Goose, MCP Servers |
| OS & Virtualization | Linux (Rocky, RHEL, Ubuntu), VMWare ESXi, Proxmox |
| Networking | WireGuard, Subnetting, DNS, IP config |
- The DevOps Handbook – Patrick Debois, Gene Kim, Jez Humble, John W. Barrios
- The Site Reliability Workbook: Practical Ways to Implement SRE - Betsy Beyer, Niall Richard Murphy, David K. Rensin, Kent Kawahara & Stephen Thorne
- Mastering Bitcoin: Programming the Open Blockchain - Andreas M. Antonopoulos & David A. Harding
- La filosofía de Bitcoin: La caída del Estado - Alvaro D. María
- Mastering The Lightning Network - Andreas M Antonopoulos, Olaoluwa Osuntokun & René Pickhardt
- 💼 Open to roles in Backend, Search, AI Infrastructure, or DevOps
- 🔍 Curious about opportunities to scale systems and support ML workflows
- 🧠 Always learning, always building
Thanks for stopping by!