I build lightweight infrastructure that respects constraints.

Systems engineering. Private infrastructure. Resource discipline as a design principle: minimum overhead, maximum capability. No abstraction without justification.

Graduating 2026. Based in New Jersey.

Open to infrastructure and systems engineering roles

edge-infrastructure-platform

active

Multi-node network management platform for private infrastructure. Pi control plane running at 5W (always-on), hub compute node that sleeps and wakes via WoL, laptop as operator. Tailscale mesh as trust boundary. RAID1 across 4TB CMR drives with automated nightly backups. No Docker, no K8s, no Nginx. Fundamentals only.

python / flask / systemd / tailscale / robocopy / bash

SteelBeam

complete

Game library and catalog web app. 4-person team project where I served as team lead and wrote most of the codebase (111 commits). Built login/registration full stack, session cookie auth, DB schema with bcrypt and CASCADE deletes, library card generation, and led UI rework after user feedback.

php / mysql / javascript / rawg api / html / css

gLLove

concept

Your data is already collected, sold through brokers, correlated via hardware fingerprinting. None of it is used to help you. gLLove flips the model: centralize your own data, surface cross-app patterns (mood, spending, sleep, screen time), and feed it into an LLM that actually knows you.

architecture / readme drafted / repo incoming
The missing layer: a conversation with Claude about what AI can't do yet
The future of AI: the 'Singularity'
Is coding still worth it?
How similar are human brains and neural networks?

Posts will cover various interesting developments in quantum computing, neurotechnology, artificial intelligence, mathematics, and other areas of science.