Python · FastAPI · PostgreSQL · Docker · Rust

Portuguese documentation: README.pt-BR.md

I am a final-year Agronomy student at the Federal University of Viçosa, building practical experience in backend development and data.

My academic and professional background gives me direct contact with field operations, protocols, traceability, and operational records. I use this context to build software involving REST APIs, relational databases, asynchronous processing, data validation, and automation.

My main stack is Python, FastAPI, SQL, and PostgreSQL, supported by Docker, automated tests, Git, and continuous integration. I also use Redis, Celery, PostGIS, Vue, TypeScript, React, Node.js, and Rust in specific projects.

I am currently open to internship and junior opportunities in backend development, data, or AgTech.

• REST API development with Python and FastAPI
• Relational and geospatial data modeling with PostgreSQL and PostGIS
• Asynchronous processing with Redis and Celery
• Data ingestion, validation, normalization, and traceability
• Automated testing and CI/CD
• Agricultural telemetry through MQTT and HTTP
• Local tools for academic and operational automation

Platform under development for organizing cotton-management, monitoring, and catalog data.

• Asynchronous REST API with FastAPI and SQLAlchemy
• PostgreSQL/PostGIS persistence
• JWT authentication and organization-based context
• Background jobs with Redis and Celery
• Catalog workflow with staging, validation, normalization, deduplication, human review, and publication
• Backend tests with Pytest and frontend tests with Vitest
• Vue 3 and TypeScript interface

Stack: Python, FastAPI, PostgreSQL, PostGIS, Redis, Celery, Docker, Vue 3, and TypeScript

Local application for ingesting academic sources, reviewing bibliographic metadata, and generating references according to UFV standards.

• PDF, RIS, and BibTeX ingestion
• OCR for documents without extractable text
• Required-field validation and conflict identification
• Metadata review through PATCH endpoints
• Offline execution and formatted export
• OpenAPI documentation and automated tests

Stack: Python, FastAPI, React, SQLite, Pytest, and OpenAPI

Local application for filling, validating, and generating an undergraduate thesis from the UFV template.

• Structured forms for thesis sections
• Required-field validation
• Review states and error handling
• Local document generation
• React interface with Node.js execution

Stack: React, Node.js, and JavaScript

Asynchronous ingestion gateway for agricultural telemetry received through MQTT and HTTP.

• Multi-protocol ingestion with MQTT and REST
• PostgreSQL persistence through SQLx
• Retry strategy with exponential backoff
• Graceful shutdown and connection handling
• Integration with FastAPI services for downstream processing
• Docker-based local environment

Stack: Rust, Actix Web, SQLx, PostgreSQL, MQTT, and Docker

Backend service for processing telemetry and applying configurable validation and data-quality rules.

• FastAPI endpoints for batch analysis
• Asynchronous processing with background workers
• PostgreSQL access through SQLAlchemy
• Schema validation and anomaly checks
• Automated tests with Pytest and pytest-asyncio
• CI/CD workflows and Docker execution

Stack: Python, FastAPI, SQLAlchemy, AsyncIO, PostgreSQL, and Pytest

Command-line tool for detecting credentials and tokens in source-code files.

• Regular-expression signatures and entropy analysis
• Scanning of files staged for commit
• Installation as a pre-commit hook
• JSON reports for CI/CD pipelines

Stack: Rust, Regex, Serde, and Git Hooks

Core

Python · FastAPI · SQL · PostgreSQL · SQLAlchemy · Git · Docker · Pytest

Used in projects

Redis · Celery · JWT · PostGIS · Pandas · Vue 3 · TypeScript · React · Node.js · Rust · Actix Web · SQLx · MQTT · GitHub Actions

Currently developing

PySpark · Cloud deployment fundamentals · MongoDB fundamentals · Database performance and observability

Worked with the field technical team in routines involving biosecurity protocols, operational records, traceability, biological sampling, and field assessments.

Recorded environmental and crop variables, organized production data, and supported traceability and applied agronomic research.

Support technical events, schedules, materials, and group activities involving researchers, producers, professors, and companies.

B.Sc. in Agronomy
Federal University of Viçosa — UFV
Expected graduation: 2026

• Portfolio: professional-site-ashen.vercel.app
• LinkedIn: linkedin.com/in/arleujunior
• Email: arleujr30@gmail.com