Tech Stack
Coming from a classic infrastructure background (VMware, server administration, and some networking), I shifted my focus toward DevOps, automation, and AI infrastructure. Today, my work mainly revolves around these three pillars:
AI & Data Stack
- Enterprise AI Platform: Nvidia AI Enterprise
- Open-Source Inference: Ollama • Open WebUI
- LLM Gateway & Tracing: LiteLLM • Langfuse
- Vector DBs: Milvus • PostgreSQL + pgvector
DevOps & Platform Stack
- Containerization: Docker • Docker Compose
- Orchestration: K8s (K3s • Tanzu • OpenShift)
- Infrastructure as Code: Terraform • Ansible
- CI/CD Pipelines: GitHub Actions • Jenkins
- Observability: Grafana • Prometheus
Infrastructure & Automation Stack
- Scripting: Python • Bash • PowerShell
- Workflow Automation: n8n
- Virtualization: VMware vSphere
- HPC: Accelerated Computing on Nvidia GPUs
Certifications
VCP-TKO
VMware Certified Professional – Tanzu for Kubernetes Operations 2024 [v2]
NCA-AIIO
NVIDIA Certified Associate – AI Infrastructure & Operations
NCP-AIO
NVIDIA Certified Professional – AI Operations
NCP-AII In Progress
NVIDIA Certified Professional – AI Infrastructure
NVIDIA AI Advisor – Sales
NVIDIA AI Advisor – Technical Sales
Soft Skills
- Solution-oriented
- Ownership & Accountability
- Strong Presentation Skills
- Technical Storytelling & Simplifying Complexity
- Cross-team collaboration
- Fast learner
Awards & Recognition
Selected as one of only 32 professionals worldwide for NVIDIA’s Enterprise Platform Advisor program, recognizing excellence in AI infrastructure and platform engineering.
Learn more →Latest Reference Project
In my latest project, I developed a sovereign AI framework leveraging NVIDIA-accelerated AI infrastructure as the backend. The solution integrates open-source and source-available services with NVIDIA NIMs for high-performance inference. It currently supports over 200 active users in production and offers API integrations for connecting to public LLMs.
Read the full case study →