Python · SQL · FastAPI · PostgreSQL · Docker
I am an Agronomy undergraduate at the Federal University of Viçosa, focused on backend development and data systems.
My background helps me understand agricultural operations, business rules and the contexts in which field data is generated. I use this domain knowledge to build software projects involving APIs, databases, automation and operational data processing.
My primary stack is Python, SQL, FastAPI and PostgreSQL. I also use Docker, automated tests and continuous integration to make my projects easier to reproduce and maintain.
I am currently seeking an internship or junior opportunity in backend development, data or AgTech.
- Backend development with Python and FastAPI
- Relational data modeling with PostgreSQL
- Data validation, transformation and ingestion
- Automated testing and continuous integration
- Asynchronous processing
- Agricultural telemetry and operational data
I am also studying PySpark, Delta Lake and Medallion Architecture through practical exercises and experimental projects.
Experimental Rust service for receiving, validating and persisting agricultural telemetry through MQTT and HTTP.
The project explores asynchronous processing, database integration, automated tests, continuous integration and load testing.
Technologies: Rust, Actix Web, SQLx, MQTT and PostgreSQL.
Backend service for processing agricultural telemetry and applying configurable data-quality and anomaly-detection rules.
The current implementation uses rule-based classification and asynchronous workers. Future versions may explore statistical or machine-learning models after the rule-based baseline has been properly evaluated.
Technologies: Python, FastAPI, SQLAlchemy, AsyncIO, PostgreSQL and Pytest.
Python application created to automate certificate generation from spreadsheet records.
The project was developed to reduce repetitive administrative work related to event organization and certificate distribution.
Technologies: Python, Pandas and spreadsheet processing.
Developed an experimental data-analysis and prediction prototype using Python, Streamlit and XGBoost. Worked on data preparation, validation and visualization.
Supported environmental data recording, process monitoring and traceability activities related to plant production.
Developed Nomino, a Python application used to automate part of the certificate-generation workflow for events.
Primary
- Python
- SQL
- FastAPI
- PostgreSQL
- Git
- Docker
Additional experience
- Pandas
- Pytest
- SQLAlchemy
- MQTT
- Vue.js
- Tailwind CSS
- Rust
- GitHub Actions
Currently studying
- PySpark
- Delta Lake
- Data pipelines
- Data quality
- Observability
- Distributed processing fundamentals
B.Sc. in Agronomy Federal University of Viçosa — UFV Expected graduation: 2026
- LinkedIn: linkedin.com/in/arleujunior
- Portfolio: professional-site-ashen.vercel.app
- Email: arleujr30@gmail.com