Software engineering / AI systems / market research

A public lab for careful systems, useful AI, and disciplined trading research.

Pulapa collects the work: practical tools, research notes, operator dashboards, and experiments that turn messy ideas into systems with evidence.

Context Mapped
Thesis Evidence-first
Invalidation Explicit
Runtime Human-governed
AI agents Trading research Data pipelines Operator tools Technical writing

About

Engineering taste with a researcher's patience.

Pulapa is where software engineering, AI, and market-structure research meet. The goal is not to make flashy demos. It is to build tools that explain their assumptions, preserve evidence, and make better decisions easier for humans.

The work here is especially interested in AI-assisted workflows, trading research infrastructure, knowledge systems, and the craft of turning complex domains into usable interfaces.

AI

Tools that make reasoning visible.

Practical AI work belongs close to the evidence. Pulapa focuses on systems that can retrieve context, expose uncertainty, and keep a human in the loop.

Agentic workflows

Task systems that gather context, produce artifacts, and leave an auditable trail.

Knowledge memory

Research notes, decisions, and source evidence shaped into reusable working memory.

Operator interfaces

Dashboards that make status, confidence, and constraints clear at a glance.

Trading Research

Research before rules. Evidence before confidence.

Doctrine

Context recognition

Mapping trend, range, pullback, breakout, and failed-breakout situations into reviewable events.

Governance

Human-led decisions

AI and ML are treated as caution, confidence, and review overlays, not automatic trade authority.

Evidence

Experiment memory

Reports and artifacts keep conclusions tied to data, assumptions, and repeatable checks.

Projects

Current workbench.

Private research OS Genesis

Genesis

A governed trading research system for context, thesis, invalidation, evidence, and operator review.

AI systems Agents

AI Tooling

Small, practical tools for retrieval, summarization, research synthesis, and workflow automation.

Writing Notes

Technical Notes

Essays and field notes on software architecture, data quality, AI collaboration, and decision systems.

Resume

Software engineer focused on AI-ready systems.

Add your resume PDF or link here when ready. This first version is structured so the site can grow into a portfolio, project archive, and writing hub without changing platforms.

Request Resume

Contact

Build, research, or compare notes.

For now, use this as the public contact point for the site. You can connect email routing for hello@pulapa.online in Cloudflare later.