NeuralFlow
A platform for working with LLM models and private data.
> ls -la /whoami
I build web, desktop, automation and LLM systems. I care about clean code, hard problems and tools that expand what a developer can do.
Code is a way of thinking, not just a profession.
/projects
/lab
The lab is a working bench for LLM, RAG, AI planning, code intelligence and admin workflows. I document testable hypotheses, not shiny promises: what can be automated, where a human must stay in control and how to bring it to production.
A shared bench for quick checks: prompts, system instructions, tool calling, JSON responses, streaming and model behavior on the same inputs.
// principleI am not looking for magic tools. I assemble working systems.
/notes research log
How I assemble a retrieval layer: sources, chunking, pgvector, eval sets, tracing and honest quality checks.
lab: rag-lab / retrieval / evalsHow a planner should work: goal, decomposition, skill selection, checkpoints, execution trace and manual approval for risky actions.
lab: ai-factory-planner / skills / execution traceHow to extract not just files from a repository, but a useful context pack: entrypoints, dependencies, risk zones and decision history.
lab: code-miner / repo context / LLM handoff/about :: senior fullstack operator
I cover the full cycle: architecture, prototype, production infrastructure, observability and careful UX. I like complex domains where a hypothesis needs to be tested quickly without losing engineering discipline.
$ run senior-stack --mode=production architecture: clean | telemetry: on | ai: assisted output: systems that survive real users
/contact :: open channel
Write if you need a fullstack lead for an MVP, internal tool, AI integration or architecture audit. I get into context quickly, speak plainly and leave the system understandable for the team.
Write an email