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broomva/README.md

Carlos D. Escobar-Valbuena

Sr. ML/Mechatronics Engineer — Databricks expert, big data for AI, and scalable production systems.

Building systems that span software, body, and craft. From agent runtimes to breath-hold training, the discipline is the same: define primitives, map failure modes, build recovery paths, iterate toward antifragility.

Repos HuggingFace Website X LinkedIn


GitHub Activity

GitHub Streak GitHub Stats

Contribution Graph

Top Languages Commits by Time

Profile Details

Contributions Since 2018


Agent OS Stack

A Rust-native ecosystem for autonomous software development, built on control theory:

Layer Project Role
Orchestration Symphony Dispatch, lifecycle, and hook management for coding agents
Governance Control Kernel Typed setpoints, safety shields, multi-rate control loops
Improvement Autoany Evaluator-Governed Recursive Improvement (EGRI)
Kernel aiOS Agent OS contract — state, memory, tools, event taxonomy
Runtime Arcan Runtime implementing the aiOS kernel contract
Persistence Lago Durable state and event store
Stability Autonomic Homeostasis controller — operational, cognitive, economic regulation
Observability Vigil OpenTelemetry-native tracing and GenAI metrics
Tooling Praxis Canonical tool execution and sandbox engine
Networking Spaces Distributed agent networking on SpacetimeDB

Core law: Agent freedom ≤ evaluator reliability.


Web & Applications

  • broomva.tech — Personal site, AI-native chat, and writing
  • chatOS — AI chat app (Next.js 16, AI SDK v6, Better Auth, Drizzle)
  • Symphony Forge — CLI scaffolder with composable control metalayer
  • Mission Control — Tauri desktop app for multi-project agent orchestration
  • Arcan Glass — Dark-first glass design language for web

Building Philosophy

1. Define the primitive layer — find irreducible components
2. Map failure modes — know where it breaks
3. Build recovery paths — design for when it breaks
4. Iterate toward antifragility — get stronger from stress
5. Make it repeatable — future-self and others can run it
6. Optimize for compounding — will this matter in 10 years?

Writing

  • "Autonomous Repos Are Control Systems" — The repository is the control surface for autonomous development
  • "Harness Over Prompting" — Prompt quality matters, but harness quality keeps agent outputs reliable at scale
  • "Autonomy Is Governance" — The autonomy you can grant an agent is proportional to governance quality

Read more at broomva.tech · book.broomva.tech


Background

Mechatronics engineering → industrial automation (PLCs, oil & gas) → data engineering → Databricks & big data for AI → ML engineering → scalable production systems & agent-native infrastructure. Colombian. Freediver. Systems thinker.

Currently AI Lead at Stimulus

14 models and 7 datasets on HuggingFace, including Spanish-to-indigenous-language translation (Wayuunaiki, Nasa Yuwe).


Stack

Rust · TypeScript · Python · Databricks · Spark · Next.js · Tauri · Tailwind · Bun · Biome · Drizzle · OpenTelemetry


broomva.tech · @broomva_tech · LinkedIn · HuggingFace

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  1. aiOS aiOS Public

    Agent Intelligence OS — cognitive runtime layer for the Agent OS stack

    Rust 1

  2. arcan arcan Public

    Core agent runtime — the foundation primitive of the Agent OS stack

    Rust 1

  3. harness-engineering harness-engineering Public

    skills.sh-compatible Harness Engineering playbook skill

    Shell 11

  4. symphony symphony Public

    Rust orchestration service for coding agents — polls Linear, creates isolated workspaces, runs Codex app-server sessions

    Rust 1

  5. control-metalayer control-metalayer Public

    skills.sh skill for control-loop metalayer setup in agentic repos

    Python 1

  6. healthOS healthOS Public

    AI-powered health intelligence platform — tracking, analysis, and insights

    TypeScript