FullStack · AI and LLMs · Agent-driven automation
Right now I work on React and Next interfaces · APIs in Python and Node · Linux, Docker and TLS · AI, LLMs and agents
I build the whole product: the interface in React and Next with TypeScript, and the APIs behind it in Python with FastAPI or in Node. I deploy it myself on Linux and Docker, on infrastructure I own, and I bring in AI and LLMs where they actually solve something.
Single-column resume, parseable by applicant tracking systems.
whoami
Adrián Nieto — FullStack Developer
stack --top
react · python · docker · llms
status
self-hosted · all systems green
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Frontend
Backend
Infra / DevOps
AI & LLMs
Published work
What each project does and how it is built: the stack, the decisions, and what is actually running behind it.
Botanium
Live demoIt tells you when each job is due on your plants, lets you collect species like a game, and is heading towards spotting pests with models of my own.
420,528species in the atlas, searchable offline
AgenticPromptMethod
ArchivedThe work is split into phases, and between one phase and the next automatic gates validate what was done before anything moves on.
Supervisedagent-driven development: phased, with automatic gates
DeepPlay
In developmentA long-term project. The reference is Pluribus, trained on a modest server: proof that this is reachable without a datacenter behind it.
ArmyTrading
In developmentIt ingests the market in real time, stores millions of candles, tests strategies against the full history and executes signals under risk limits. The real-money mode ships switched off.
≈18,500×faster query: 44.7 s → 2.4 ms
Infrastructure I run
No managed hosting, no platform with a deploy button. The site is served from a machine I administer myself, and the demos from a home server on the far side of an encrypted tunnel.
System status
LIVE
Operational
Published demos
Every demo isolated, unprivileged, with egress locked down.
The heavy lifting for the demos happens here, not on the VPS.
Automatic certificates and a timed rollback path.
Direct link, without a single port opened on the router.
The line in the panel header is an illustration, not a measurement.
In progress
An AI that learns to play poker on its own. It is the project I keep coming back to and it is a long game: it trains on the hardware I have at home, no datacenter and no rented GPU, and it moves at the pace that allows.
Two applications are already running on my own machine, each in its own container and behind an encrypted tunnel, so they can be poked at instead of read about. The rest are landing one by one.
I run the portfolio and its infrastructure as a product: atomic releases with a rollback path, certificates that renew themselves, monitoring, and a verification suite that runs before anything ships.
Let’s talk
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