Skip to content
View rafaelipuente's full-sized avatar
5 followers · 10 following

Highlights

  • Pro

Block or report rafaelipuente

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
rafaelipuente/README.md

Hi, I'm Rafael Puente 👋

Building AI systems, automation tools, and software that solves real problems. Recent CS graduate @ Portland State University | Aspiring AI Engineer.

Focused on AI agents, compiler systems, and practical automation. Email · LinkedIn · Website

I'm a recent computer science graduate based in Portland, building projects at the intersection of AI, systems, and real-world tooling.

My work usually centers on:

  • AI agents and automation for practical workflows
  • Compiler and systems projects with MLIR / LLVM
  • Full-stack tools that prioritize usability, speed, and clear design
  • Applied software built to be useful, not just impressive on paper

I care about shipping, performance, and making technical ideas feel usable.

Recently, I've been working on:

  • AI agent workflows for task automation and productivity
  • AuroraAICompiler and compiler optimization experiments
  • Real-time video and streaming-related tooling
  • Automation tools for structured data and document workflows

If you're working on AI tooling, systems software, or automation, I'm always interested in strong ideas and serious projects.

Stack

Languages

Frameworks & Libraries

Infra & Tools

Workflow

I use Cursor for fast iteration, Claude Code for deeper implementation work, and Warp when I want tighter terminal-driven control.

AI is part of how I build, but not the product itself by default. I use it to move faster on scaffolding, refactoring, research, and debugging—then tighten the result into something solid.

I prefer local-first tools, CLI workflows, automation, and strong observability so I can build quickly without losing control.

Pinned Loading

  1. AuroraAICompiler AuroraAICompiler Public

    Next-gen AI compiler with MLIR/LLVM IR, PyTorch/ONNX support, and runtime benchmarking(please contribute)

    C++ 3 1

  2. desmos-mcp-server desmos-mcp-server Public

    I built this MCP server to convert plain-English math prompts into Desmos-ready graph payloads. It’s a small, practical agent tool project focused on structured outputs, validation, and real utility.

    TypeScript

  3. EcoEcho-iOS EcoEcho-iOS Public

    Exploratory SwiftUI prototype for urban biodiversity assessment. Users scan a space, simulate greening interventions, and observe how habitat potential changes through a transparent, explainable sc…

    Swift

  4. gridops-platform gridops-platform Public

    GridOps is a modular Spring Boot and Angular platform for managing utility assets, incidents, and maintenance workflows. It features JWT auth, role-based access, audit history, PostgreSQL, Flyway m…

    Java 1

  5. Traffic-Control-Planner Traffic-Control-Planner Public

    AI-powered Traffic Control Plan (TCP) generator using Next.js, Mapbox, and OpenAI.

    TypeScript

  6. jah-writer jah-writer Public

    AI text assistant Chrome extension. 15 writing modes, dual provider (Gemini + OpenAI), inline toolbar, fact checker, diff view.

    JavaScript