I design human-governed AI systems, open security infrastructure, and polished products that turn difficult technology into useful, defensible outcomes.
A working portfolio across AI agents, cybersecurity, developer infrastructure, desktop automation, and independent product experiments.
8 projects
AI systemsLive · Active development
01SSTypeScript
Shiba Studio
A local-first studio for building and orchestrating Grok-powered agents.
Shiba Studio unifies agent orchestration, workspace-aware coding, browser control, scheduling, integrations, memory, and auditable local workflows in a desktop-grade web application.
From vulnerability intelligence to verified action.
An open, self-hostable knowledge layer that connects source-backed CVE research to bounded remediation recipes, required evidence, rollback guidance, and human-reviewed outcomes.
See what your software depends on—and where the risk lives.
A software-supply-chain research tool that maps package dependencies across eight ecosystems and combines them with vulnerability, repository health, license, and SBOM analysis.
Refine team messages with AI before they are sent.
A multi-provider writing assistant that rewrites, translates, summarizes, and reformats messages through Slack, an HTTP API, a command-line tool, or a Python library.
Portable Windows automation with record/replay and AI-generated patterns.
A configurable auto clicker for Windows with humanized cursor movement, global hotkeys, system-wide recording, replay, and cloud or local AI pattern generation.
A non-custodial toolkit for accepting Dogecoin in person or online.
A commerce toolkit for small businesses with browser wallet tools, point-of-sale checkout, payment QR codes, on-chain verification, a local order ledger, and embeddable website components.
Real Scrypt pool mining with a transparent live dashboard.
A full-stack Dogecoin pool miner implementing Scrypt on CPU and OpenCL GPUs, with live pool responses, share statistics, hardware telemetry, and on-chain wallet data.
Senior-level thinking paired with enough hands-on depth to move from ambiguity to architecture, working software, and verifiable results.
Available for focused engagements
AI security & operating models
Move from AI experimentation to a defensible program with explicit boundaries, human authority, evidence, and rollback built into the way work gets done.
Typical outcomes
AI risk and control architecture
Human-in-the-loop approval design
Agent governance and auditability
Practical adoption roadmaps
Best for
Leaders introducing agents into high-consequence workflows.
01
Frame
Define the real decision, boundaries, and success evidence.
02
Build
Create the smallest complete system that proves the path.
03
Prove
Test the controls, document the result, and transfer capability.
Outside the interface
03 / Profile
“Curious enough to try it.”
That line has lived on my GitHub profile for years because it is the shortest explanation of how I work. I move comfortably between strategy and implementation, follow hard questions into the details, and prefer a working artifact over an abstract claim.
The common thread across my work is governed capability: powerful systems that stay understandable, observable, and answerable to the people who use them.