Skip to content
View dnlrsls's full-sized avatar
:shipit:
:shipit:

Block or report dnlrsls

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
dnlrsls/README.md

Daniel Rosales
Freelance Product Engineer

Custom operational software for teams that need their rules to work in practice.

I translate business rules, controls, and workflows into maintainable enterprise software.

Email Daniel Rosales Daniel Rosales on LinkedIn

What I build

Focus Outcome
Custom enterprise systems Business processes translated into clear, dependable software.
Rules, controls, and workflows Day-to-day operations that are easier to run, understand, and evolve.
Current work An anonymized custom operational system with billing and business controls.

I work with teams that need complex operational logic made practical. The foundation is readable code, thoughtful architecture, and deliberate review.

Core stack

HTML CSS TypeScript React

Open-source collaboration

I am an active member of Gentleman Programming, collaborating through code, reviews, and triage.

Gentle AI, 5k plus GitHub stars Engram, 5k plus GitHub stars

  • Gentle AI and Engram are open-source projects with 5k+ GitHub stars each.
  • OpenCode supports my planning, implementation, and review workflow.

AI supports the process; engineering judgment and fundamentals remain essential.

Selected open-source work

  • Gentle AI PR #1588: Added a Windows-safe file and stdin handoff for review artifacts, avoiding fragile PowerShell JSON quoting while enforcing bounded, regular-file inputs.
  • Gentle AI PR #1587: Tightened correction and replay boundaries in the review workflow, preventing unsupported retries while preserving compatibility with existing records.
  • Gentle AI PR #1415: Made Git Bash discovery deterministic across common Git for Windows layouts, so the tooling avoids unintended WSL fallbacks and runs more predictably.

Engineering principles

  • Clear architecture that makes systems easier to understand and evolve.
  • Maintainability through simple design, readable code, and deliberate review.
  • Continuous learning grounded in hands-on practice.
  • Practical products that solve real needs.

Start a conversation

Need a custom system that makes your operational rules and controls easier to run? Let's discuss the workflow and the software it needs.

Email danelcan14@gmail.com Daniel Rosales on LinkedIn

Popular repositories Loading

  1. kanati-app kanati-app Public

    TypeScript

  2. jireh-dashboard jireh-dashboard Public

    HTML

  3. gentle-ai gentle-ai Public

    Forked from Gentleman-Programming/gentle-ai

    Go

  4. engram engram Public

    Forked from Gentleman-Programming/engram

    Persistent memory system for AI coding agents. Agent-agnostic Go binary with SQLite + FTS5, MCP server, HTTP API, CLI, and TUI.

    Go

  5. dnlrsls dnlrsls Public

    GitHub profile for Daniel Rosales