2025 Atlas — AI Operations Copilot
A chat copilot that answers operations questions over a company's own data — pulling from docs, tickets, and dashboards with cited sources.
Available for new projects
Custom software,
Custom software,
powered by AI.
ZVZ Solutions designs and builds full-stack applications and AI systems that solve real business problems — automation, agents, integrations, and data & ML. One engineer, accountable from architecture to deploy.
- TypeScript
- Python
- React
- Astro
- Node.js
- PostgreSQL
- LLMs
- RAG
- Anthropic
- OpenAI
- Vector DBs
- LangChain
- AWS
- Docker
- Next.js
What I build
Services that ship.
Five ways I help companies put software and AI to work. Most engagements blend a few of them.
01
Full-stack software development
From blank repo to production.
End-to-end product engineering — web apps, APIs, dashboards, and the infrastructure underneath. One person who can take an idea from architecture to a deployed, maintainable system.
- Web & internal apps
- APIs & integrations
- Cloud deploy & CI/CD
02
Custom AI software
AI built around your problem, not the other way around.
Bespoke applications with AI at the core — copilots, document understanding, search and retrieval, and decision support tuned to your domain and data.
- LLM copilots & assistants
- RAG over your data
- Domain-specific tooling
03
AI automation & agents
Delete the manual, repetitive work.
Agents and automated workflows that handle the tedious, error-prone tasks eating your team's time — triage, data entry, reporting, and multi-step processes that run themselves.
- Workflow automation
- Multi-step agents
- Human-in-the-loop controls
04
AI integration
Add intelligence to what you already run.
Wire AI into your existing apps, data, and pipelines — without a rebuild. Clean interfaces, sensible guardrails, and observability so you can trust what ships.
- Integrate into existing stacks
- Model & vendor selection
- Guardrails & evals
05
Data & ML solutions
Turn your data into decisions.
The models, analytics, and data plumbing behind good decisions — predictive models, pipelines, and dashboards that surface what actually matters.
- Predictive models
- Pipelines & ETL
- Analytics dashboards
Selected work
All work Things I've built.
A few representative builds. Screenshots and case studies are illustrative — real ones drop in here.
2025 
2025 Ledger Sense — Automated Invoice Processing
An AI pipeline that reads incoming invoices, extracts and validates line items, and pushes clean data into accounting — with a human in the loop for edge cases.
How I work
From problem to production.
Senior, hands-on, and direct. No account managers, no hand-offs — you work with the person building it.
- 01
Discover
We dig into the real problem, the constraints, and where AI actually moves the needle — no solution looking for a problem.
- 02
Design
Architecture, data flow, and a sharp scope. You see exactly what we're building and why before a line of code ships.
- 03
Build
Tight iterations with working software in front of you early. Evals and guardrails baked in, not bolted on.
- 04
Deploy & iterate
Ship to production, measure, and improve. You own the code and the keys — no black boxes, no lock-in.
Start here
Let's build something that works.
Tell me about the problem you're trying to solve. If AI is the right tool, I'll show you how — and if it isn't, I'll tell you that too.