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  • IBM
  • Ohio
  • 16:06 (UTC -04:00)

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Jacob-Brokloff/README.md

Jacob Brokloff

Customer Success Engineer @ IBM
Solutions Engineering · Enterprise Storage · AI Infrastructure

IBM Go Python Arch Linux Kubernetes

About

I work in IBM's Infrastructure unit. My coverage spans IBM storage offerings like Fusion, Storage Scale, and Ceph.

Outside of IBM, I build custom software for businesses.

🔧 What I'm Building

Custom Software for Businesses

Building tools for SMB clients through JBit Solutions. Current work includes 99OVR (private), a contact-extraction platform for youth sports tournaments, plus MCP-based apps for sales outreach.

Self-hosted Data Lake

Rolling my own lightweight data lake for SMB data: classification, routing, and stream ingestion on a single VM.

LLM Retraining

Retraining my own LLM for domain-specific work. Pulling patient data and doing reinforcement learning and fine tuning on a Kimi K2 model for better predication analysis

🛠 Stack

Domain Tools
Languages Go, Python, Rust, 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

📌 Pinned Projects

Repo Description
99OVR (private) Contact-extraction platform for youth sports tournaments
jbit-ai TBD
jbit-coding-agent Agentic coding assistant
pytorch-jupyter Docker Compose ML training environment
vqe Simple Variational Quantum Eigensolver implementation
Asteroid_Game Python asteroids — gotta start somewhere

📜 Certifications

  • Cisco CCNA
  • AWS Certified Cloud Practitioner
  • NVIDIA Certified Associate — AI Infrastructure & Operations

Pinned Loading

  1. Asteroid_Game Asteroid_Game Public

    Asteroids project

    Python

  2. jbit-coding-agent jbit-coding-agent Public

    Python

  3. vqe vqe Public

    simple VQE implementation

    Python

  4. pytorch-jupyter pytorch-jupyter Public

    This is a docker compose file that you can use to spin up your own little ML training ground.

    Jupyter Notebook