Customer Success Engineer @ IBM
Solutions Engineering Β· Enterprise Storage Β· AI Infrastructure
I spend my days driving technical strategy around IBM's storage and AI portfolio. Working across Fusion, Storage Scale, and Object Storage architectures to enable enterprise AI workloads.
Nights and weekends: running a homelab and building Go TUIs.
k8watch (in progress)
Lightweight, single-binary Kubernetes monitoring TUI β think K9s but leaner.
Built with Go + Bubble Tea + Lip Gloss. Catppuccin/Tokyo Night aesthetic. Targets SMB operators who live in the terminal.
Network and infrastructure monitoring TUI. Zabbix/Grafana alternative without the overhead.
Implements automatic bottleneck identification using the USE Method, Linear Programming, and queueing theory.
Both tools ship as single binaries with optional AI-enhanced versions (Llama 3.3 70B / Mistral 7B via Ollama) for privacy-first, on-prem inference.
| Domain | Tools |
|---|---|
| Languages | Go, Python, Bash |
| Infra | Proxmox, TrueNAS, Kubernetes, OpenShift |
| Networking | Ubiquiti, Netmaker/NetBird, WireGuard |
| Storage | IBM Fusion, Storage Scale, Object Storage, TrueNAS |
| Monitoring | Zabbix, Grafana, Wazuh |
| Dev Environment | Arch Linux, Hyprland, Neovim, GNU Stow |
| Repo | Description |
|---|---|
jbit-coding-agent |
Agentic coding assistant |
pytorch-jupyter |
Docker Compose ML training environment |
vqe |
Simple Variational Quantum Eigensolver implementation |
Asteroid_Game |
Python asteroids β gotta start somewhere |
- Cisco CCNA
- AWS Certified Cloud Practitioner
- NVIDIA Certified Associate β AI Infrastructure & Operations
Ohio-based Β· Open to interesting conversations about storage, observability, and Go.

