Ben Currie // crevex.tech

crevex.tech — initializing...

[ OK ] Loading kernel modules

[ OK ] Starting distributed services

[ OK ] Mounting AI subsystems

[ OK ] Establishing kingdom protocols

[ OK ] All systems nominal

Welcome. — Ben Currie

about

I'm a software engineer and AI researcher working at the intersection of distributed systems, machine learning, and the human institutions they reshape. Currently an AI Lab Associate at Biola University, where I explore what it looks like to build responsibly in a world being rewritten by AI.

My work is shaped by a Christian framework of stewardship — the conviction that technology is not neutral, and that how we build matters as much as what we build. I'm particularly interested in AI's role in education and industry: not as a shortcut, but as a tool that demands wisdom, discernment, and accountability.

On the engineering side, I work across TypeScript, Python, and Nix, run a Talos K8s Linux homelab for distributed infrastructure experiments, and build tools that bridge AI systems to real-world workflows — including MCP servers, fine-tuned models, and automation pipelines.

I write about what I observe from the front lines — field reports from a student and builder navigating an era of rapid capability change. The goal is honest thinking, not polished takes.

whoami.sh

$ cat profile.json

{
  "name": "Ben Currie",
  "role": "AI Research /
    Distributed Systems Eng",
  "org": "Biola AI Lab",
  "domain": "crevex.tech",
  "focus": [
    "AI Stewardship",
    "Education",
    "Distributed Infra"
  ],
  "faith": "Christian",
  "conviction": "Build wisely"
}

$ uptime

still building. 🟢

projects

Telegram-Bridge-MCP

↗ GitHub

An MCP server that bridges AI assistants to a Telegram bot — enabling two-way messaging, confirmations, status updates, multi-agent orchestration, and voice transcription. Built for real-world AI workflow integration.

Cell-Culture

↗ GitHub

Tooling for cell culture workflows — an example of AI and software engineering applied to biology and lab science. Demonstrates cross-domain systems thinking.

LoRA_MLX-LM

↗ GitHub

Fine-tuning language models with LoRA on Apple's MLX framework. Local, efficient LLM training and adaptation on Apple Silicon — exploring what on-device AI looks like at the edge.

talosHomelab

↗ GitHub

A personal Kubernetes cluster running Talos Linux — immutable, API-driven OS for distributed infrastructure. Homelab for distributed systems research, service orchestration, and infra experiments.

NixFlake

↗ GitHub

NixOS system configuration as a flake — declarative, reproducible Linux environments. Reflects a disciplined approach to infrastructure-as-code and system reliability.

Biola.Tech

↗ GitHub

Web presence for the Biola University tech community — part of ongoing work at the Biola AI Lab to build infrastructure for AI research and education on campus.

TV-Automator

↗ GitHub

Home automation tooling for TV and media systems. An example of practical automation applied to everyday infrastructure — making technology serve people.

chess-tic-tac-toe

↗ GitHub

A hybrid chess/tic-tac-toe game built in TypeScript — a creative engineering experiment exploring game logic, state machines, and UI interaction patterns.

writing

Field reports from the front lines of AI — not research papers, but honest thinking from someone building and studying in the middle of the transition.

AI · Education · Stewardship

The Hidden Debt: The Seen and The Unseen in AI

Everyone is watching the arms race — AI detection tools, honor code revisions, the chaos of policing. But Bastiat's framework reveals a deeper problem: the catastrophic opportunity cost of graduating students into obsolescence. A Two-Stage Model for navigating the transition with wisdom, not fear.

AI · Practical Guide · Education

How to Use AI Without Cheating: A College Student's Guide

Not a lecture on rules — a practical framework for working with AI as a thinking partner, not a replacement. How to use AI as your intern, not your author. The art of the prompt, the value of skepticism, and the future of learning.

contact

Building something interesting?
Let's talk.

Whether it's AI research, distributed systems, a conference conversation, or a question about stewarding technology well — reach out.

✉ Email Currie.ben@outlook.com in LinkedIn /in/benjamin-currie ⌥ GitHub DonutL0rd ◎ Instagram @sir_ben_the_bold

Ben Currie

Building something interesting? Let's talk.

Building something interesting?
Let's talk.