DevOps / AI Engineer — building reliable infrastructure and intelligent systems at scale.

Currently at an international HFT hedge-fund, automating cloud infrastructure, monitoring trading systems, and engineering AI-driven automation pipelines for processing confidential data on self-hosted open-weight LLMs.

Infrastructure & Platform

• Cloud automation with AWS, Terraform, Pulumi
  • pulumi-netbird
• Kubernetes (bare-metal clusters via Kubespray, Talos Linux, GitLab CI + Argo CD)
  • terradockernates, ansible-inventory-diagram, virt-cloud-init
• Monitoring: Zabbix, Prometheus, Grafana LGTM Stack, VictoriaMetrics, ELK
• Tracing & profiling: Grafana Alloy, Tempo, Pyroscope

AI & Agentic Systems

• Agentic and RAG automation pipelines (retrieval-augmented generation)
• Multi-modal search over PostgreSQL: BM25, vector search, graph search
• Self-hosted llama.cpp server administration and tuning with open-weight models for confidential data workloads
• AI application development with LangGraph (Python), rig (Rust), and eino (Go)
• LLM evaluation, tracing, and observability with LangChain, Langfuse

Languages

• 🐍 Python — daily driver for automation, data pipelines, and AI applications
  • ansible-inventory-diagram, signup_api
• 🦦 Go — when simplicity matters
  • pulumi-netbird
• 🦀 Rust — when correctness and performance demands it
  • gitraider, nuttertools
• 🐚 Bash — glue that holds the universe together
  • dotfiles, virt-cloud-init
• 🐧 C — when feeling adventurous
  • gigachad_kernel_module