Hello, World! I'm Ruan 👋
🚀 Software Engineer with a strong focus on AI, code quality, and developer tools
🔭 Currently exploring LLM-powered applications and automation
🌐 Check out my website at ruancomelli.com
🧑💻 About Me
I'm a software developer who loves to code, but there's more to me than just crafting bugs programming:
- 🇧🇷 Brazilian living in the beautiful Florianópolis
- 🎓 Mechanical Engineer by formation—Bachelor's and Master's from the Federal University of Santa Catarina (UFSC)
- 💻 Software developer by passion (self-taught almost everything I know)
- 🦖 Dinosaur enthusiast (what's your favorite one?)
- 🐕 Proud father to two adorable chihuahuas who think they're much bigger than they actually are
- 🏐 Beach volleyball player with more enthusiasm than skill
- 🎮 Last fell in love with Hollow Knight
🎵 Let's listen to some music together!
💼 Work Experience
Sourcery – Senior Software Engineer (2021 – 2025)
At Sourcery, I contributed to building intelligent tools for developers:
- 🤖 Designed and implemented LLM-powered systems for automated code review and bug fixing
- 🔄 Re-architected and maintained an event-driven GitHub/GitLab bot infrastructure supporting natural language comment commands
- 📝 Implemented automated PR titles and summaries; Mermaid diagram visualization; and security-focused reviews
- 📊 Built evaluation datasets and scripts for AI-generated patches, using LangSmith for testing and observability
- 🛠️ Improved our CLI, GitHub Actions, and IDE extensions to streamline workflows and increase adoption
- ⚡ Led codebase modernization by replacing Black and PyLint with Ruff, making linting and formatting near-instantaneous
- 🔍 Enhanced our static analysis engine and added linting and refactoring rules
Elint – Tech Lead (2021)
- 📄 Led a team in developing a proof-of-concept for automated PDF data extraction, successfully delivering a solution that was adopted by the client
- 🔎 Architected and implemented a custom OCR solution that outperformed state-of-the-art commercial tools, including Google Vision, by combining Tesseract with modern open-source models
- ☁️ Designed and implemented serverless document processing pipelines using infrastructure-as-code
UFSC – Master's in Mechanical Engineering (2019 – 2023)
- 🧠 Applied deep learning to a computer vision problem in mechanical engineering
- 🔥 Developed models to estimate heat flux in pool boiling experiments
- 📊 Implemented and optimized convolutional neural networks using Keras/TensorFlow and AutoKeras
- 🔝 Pushed the state of the art in pool boiling heat transfer estimation:
- Reduced prediction error by 73%-80%
- Optimized CNN architecture 73%-96% smaller than previous state-of-the-art
- Processed 200,000+ boiling images across four heating surfaces
- 📝 Published research: Thesis | Paper | Code Repository | Thesis Repository
🛠️ Tech Stack
💪 Strong Skills
- Python development (libraries, packages, testing)
- LLM integration and prompt engineering (Pydantic AI, LangChain, LangSmith, LangGraph)
- Code quality tooling and static analysis (Ruff, MyPy, Tree-Sitter)
- CI/CD with GitHub Actions
- Machine learning and computer vision
- Git workflows and version control
- Type-safe Python development
- Scientific software development and reproducibility
- LLM system evaluation and testing
🌱 Current Focus
- 🦀 Learning the Rust programming language
- 🌐 Practicing full-stack development
- 🐙 Contributing to open-source projects
- 🔧 Building more efficient developer tools
📝 Code Showcase
🚀 Featured Projects
AI-powered application that helps developers showcase their achievements
Deep learning models for estimating heat flux in pool boiling experiments (Master's research)
🎯 Notable Contributions
- Rust:
- Add
constsupport for float rounding methods #141521: Addedconstsupport for rounding methods (floor,ceil,trunc,round,round_ties_even) across all float types (f16,f32,f64,f128) - my first contribution to the Rust project!
- Add
📋 Useful Gists
🎤 Talks & Presentations
I occasionally share my knowledge and experiences through talks:
| Event | Talk | Date | Links | Description |
|---|---|---|---|---|
| PyNE2023 | Construindo um assistente de código utilizando LLMs | 2023 |
📝 Slides
🎥 Recording |
In this talk, I shared how to build a code assistant using LLMs, with a focus on practical examples and tools. |
| PyBR2022 | Refatoração: boas práticas e automação | 2022 |
📝 Slides
🎥 Recording |
In this talk, I shared some tips and tools for refactoring code, with a focus on automating code refactoring. |
Note to self: give more talks in English!
💻 My Dev Setup
Here's what my development environment looks like:
- Editor/IDE: Cursor as my main IDE, with Helix for quick edits
- Terminal: Alacritty with Zellij as multiplexer
- Shell: NuShell as primary, with Bash as fallback
- OS: Ubuntu 24.04.2 LTS
- Theme: Dracula (created by a fellow Brazilian 🇧🇷)
⚡ Productivity Toolkit
| Shell Enhancers | Starship • zoxide • Atuin • bat |
| Dev Tools | Mise • Just • uv • Ruff |
| Git Workflow | Graphite • Lazygit • Delta • Difftastic |
| Code Quality | Ruff • Mypy • pre-commit • Sourcery |
| Python Stack | Pytest • Pydantic • LangChain • Typer • Rich • MkDocs |
| Data & ML | NumPy • Pandas • Pandera • TensorFlow • Keras • AutoKeras • SQLAlchemy |
| Code Analysis | Tree-Sitter |
| Knowledge | Obsidian |
📊 GitHub Stats
Note that this only includes public contributions.
👋 Let's Connect!
I'm always open to interesting conversations and collaboration opportunities. Feel free to reach out if you want to discuss tech, share ideas, or just say hi!
🤝 I'm currently interested in:
- 💼 Work opportunities in software development, AI, and developer tools
- 🌟 Contributing to open-source projects, especially in Python and Rust
- 🧩 Collaborating on innovative developer tools and LLM applications
- 🔄 Exchanging ideas about code quality, automation, and developer experience
If any of these align with your interests or needs, don't hesitate to reach out!