Senior Software Engineer focused on backend, cloud, data workflows, and AI workflow reliability.
I build practical systems in Python, Java, and AWS, with an emphasis on APIs, automation, data processing, and maintainable developer workflows. My current public work centers on structured context management, reproducible LLM workflows, and tooling that keeps operational state auditable and easier to maintain.
A public, sanitized workflow template for running repeatable ChatGPT work with external context packs, ownership-based routing, and deterministic patch outputs.
What to look at first:
- Repo README
- Architecture diagram
- Quick start
- Build and validation scripts
- Example context files
- Backend services and APIs
- AWS and cloud automation
- Data workflows and pipeline tooling
- LLM workflow reliability and context/state management
- Python backend and cloud delivery
- Production-minded tooling and CI
- Public-safe portfolio projects across backend, cloud, and data platform work
Python • Java • AWS • SQL • Spark/PySpark • Terraform • Docker • GitHub Actions • PostgreSQL
- LinkedIn: linkedin.com/in/jonathanbalderas
- GitHub: jonathan-balderas
- Email: jonathan.balderas.gauna@gmail.com
My strongest public portfolio signal today is workflow and tooling design. I am actively expanding public proof points that show backend, cloud, and data-platform execution more directly.