Engineer · Product Builder

Building useful systems out of messy problems.

I work where engineering, AI, automation, and product design overlap — from production interfaces to self-hosted AI infrastructure and intelligence workflows.

Selected work

Things I build.

A mix of production systems, internal tools, and experiments. The common thread is turning fragmented workflows into something explicit, observable, and useful.

AI Infrastructure Private system

Fox AI

A self-hosted control plane for cloud and local models, with one gateway, project-scoped access, spend attribution, and a private RTX inference path.

ReactFastAPILiteLLMPostgreSQLTailscale
Fraud Intelligence In development

ScamGraph

An intelligence workflow for grouping scam activity into campaigns, connecting infrastructure and behavioral signals, and turning fragmented evidence into operational leads.

Graph analysisOSINTAIFraud intelligence
Automation Active

fox-job

A job-search automation system that discovers company career sources, normalizes ATS data, enriches listings, and pushes actionable workflows into Telegram.

FastAPIPostgreSQLATSTelegramAutomation
Personal Systems Active

fox-finance

A personal finance workflow for collecting transactions, tracking budgets and recurring costs, and turning messy household inputs into something actually usable.

ReactFastAPIPostgreSQLAutomation
What I do

From interface to system.

I like work that crosses boundaries. A frontend problem is often really a product problem; an AI feature is often really an infrastructure and observability problem.

01 / Engineering

Product engineering

Frontend architecture, TypeScript-heavy applications, APIs, data flows, and the unglamorous production details that decide whether software survives contact with users.

02 / AI

AI & automation

Model gateways, local inference, agents, structured workflows, retrieval, cost controls, and automation designed around real operational constraints.

03 / Product

Problem → product

Taking vague operational pain, mapping the workflow, choosing the smallest useful system, and pushing it far enough to expose what actually matters.

Current focus

Where I’m looking now.

The most interesting problems to me right now sit between software infrastructure, intelligence workflows, and practical AI adoption.

Themes
AI infrastructure & model orchestrationSystems
Fraud intelligence & campaign analysisIntelligence
Developer tooling & internal platformsEngineering
Automation for repetitive knowledge workProduct
Working stack
TypeScript Angular React Python FastAPI .NET PostgreSQL Docker LiteLLM OpenAI-compatible APIs Cloudflare Tailscale
Contact

Building something complicated?

I’m interested in ambitious engineering, AI infrastructure, product systems, and intelligence workflows where the hard part is bigger than a single framework.