Dear Hiring Team,

I am an Agronomy undergraduate at the Federal University of Viçosa and an early-career developer focused on backend systems and data. I am interested in internship and junior opportunities where I can contribute to real projects while strengthening my software-engineering foundations through teamwork, code review and technical guidance.

My agricultural background has taught me to observe operational processes, understand variability and treat data quality as part of the problem—not as an afterthought. Through internships and academic activities, I have worked with field records, production routines, experimental data and traceability. These experiences motivated me to study how APIs, databases, automation and data pipelines can improve the organization and use of operational information.

My current technical focus is Python, SQL, FastAPI and PostgreSQL. In portfolio projects, I have developed APIs, asynchronous processing routines, relational data models, automated tests and web interfaces. I have also explored Rust and MQTT through an experimental agricultural telemetry gateway, while studying PySpark, Delta Lake and data-engineering practices.

During my internship at Pif Paf Alimentos, I supported poultry-production monitoring and developed an experimental web application to explore data preparation, validation and weight-forecasting workflows with Python, Pandas, Streamlit and XGBoost. At GeCotton, I developed Nomino, a tool that automates certificate generation from spreadsheet records and reduces repetitive administrative work during event operations.

I do not present these projects as substitutes for production experience. They are evidence of how I learn, organize problems and turn requirements into working software. I am looking for an environment where I can build on that foundation, receive rigorous feedback and contribute with discipline, curiosity and knowledge of agricultural operations.

I would welcome the opportunity to discuss how my combination of agronomy, backend development and data interests could support your team.

Thank you for your time and consideration.

Sincerely,
Arleu Júnior