I’m a Senior MLOps / ML Systems Engineer focused on turning experimental ML pipelines into reliable, high-throughput, observable production systems.
I use my personal projects as Engineering Sandboxes to explore new technologies with production-grade rigor.
Context: A production-oriented implementation for operationalizing GenAI systems.
- What it does: A "Culinary Assistant" RAG pipeline that allows users to chat with their recipe collection.
- Tech: Python, Qdrant, Langfuse, Typer, Gradio...
Context: A hybrid-cloud infrastructure platform managing bare-metal and Azure resources.
- What it does: Manages multiple Kubernetes clusters (Dev, Staging, Prod) in my Homelab and cloud resources via GitOps.
- Tech: Kubernetes, Terraform, Flux CD, Azure, External Secrets Operator, SOPS/age...
| Domain | Technologies |
|---|---|
| MLOps & Infra | Kubernetes, Helm, Flux CD, Argo Workflows, Terraform, Docker |
| ML Systems | NVIDIA GPU Operator, Video Processing (PyAV), High-throughput Pipelines, PyTorch |
| Observability | Prometheus, Grafana, Loki, Langfuse (LLM Tracing) |
| Cloud | Azure (Hybrid Architecture), Databricks |
| Generative AI | RAG Pipelines, Vector DBs (Qdrant), LiteLLM, vLLM |
| Languages | Python, Go, C++, SQL |