Backend Software Engineer focused on Python, Java, automation, AI, and systems integration.
I build software that automates real-world business processes — especially workflows involving documents, email, APIs, ERP systems, and AI-assisted data extraction.
Currently exploring:
- AI-assisted workflow automation
- Local LLMs and structured extraction
- Backend architecture and distributed systems
- Reliable integrations between APIs and browser automation
Python • AI • APIs • Browser Automation
A modular automation system for processing email-driven financial workflows.
It handles:
- Email and attachment ingestion
- PDF/image/document extraction
- AI-assisted structured data extraction
- Deterministic validation and ambiguity handling
- Document pairing and reconciliation
- ERP process lookup and integration
- Duplicate detection, retries, and audit logging
Currently being developed as a real-world automation platform.
C++ • HTTP • Networking
An HTTP server implemented from scratch as part of the 42 curriculum.
Topics explored:
- TCP sockets
- HTTP request parsing
- routing
- configuration parsing
- non-blocking I/O
- CGI
C • UNIX
A small UNIX shell implemented from scratch.
Includes:
- processes and
fork - pipes
- redirections
- environment variables
- signals
- command execution
C • Computer Graphics
A ray tracer built in C with support for basic geometric primitives, lighting, camera transformations, and scene parsing.
Python • Java • C • C++ • SQL
FastAPI • REST APIs • Spring • Pydantic • SQLAlchemy
Playwright • Ollama • Local LLMs • Structured Extraction • RPA
Docker • Linux • Git • PostgreSQL • Redis
Sockets • Threads • Mutexes • UNIX Processes • HTTP
I studied software engineering at 42 São Paulo, where I developed a strong foundation in systems programming, networking, concurrency, algorithms, and C/C++.
Professionally, I work with software automation using Python and Java, building integrations and workflows around business systems.
- Distributed systems
- Backend architecture
- AI agents and workflow orchestration
- Reliable LLM-based extraction
- Observability and production deployment