Leonardo Briquezi

Ingleses, Florianópolis leonardobriquezi01@gmail.com

Summary

Computer Science student with experience in backend development in Python and JavaScript. I work on creating APIs with FastAPI, data modeling in PostgreSQL and version control with Git. I also develop data analysis solutions and integrations with AI models.

I am self-taught and learn new technologies quickly, applying them in real projects. I value organization, planning and clear, efficient communication in development and team collaboration.

Projects

AutoPot-DR | Python, PyQt5, Pymem, Ctypes, Threading

  • Implementation of multithreading for continuous monitoring of values in memory.
  • Memory manipulation with Pymem, pointer chain resolution and use of Ctypes.
  • Automatic execution of actions based on configurable limits.

SmokeShopERP-DataAnalytics | Python, PyQt6, PostgreSQL, NumPy, Matplotlib

  • Management system with CRUD operations for clients, products and sales.
  • Data persistence in PostgreSQL with relational modeling.
  • Data analysis dashboard with sales metrics, profit margin, inventory turnover and other indicators.

MiniSchool | Python, Tkinter, PostgreSQL, Psycopg2

  • Desktop school management system for courses, subjects, students and grades.
  • Tkinter interface with tabbed navigation and forms for CRUD operations.
  • Data persistence in PostgreSQL with relational modeling.
  • Grade system with multiple components (exam, assignment, simulators) and automatic final grade calculation.

Skills

Languages : Python, Java, JavaScript, TypeScript, SQL, HTML, CSS, Solidity
Frameworks : FastAPI, LangChain
Libraries : NumPy, Pandas, Matplotlib, PyQt, Tkinter, Pymem, SQLAlchemy
Tools : Git, Docker, Linux, PostgreSQL

Languages

Portuguese — Native English — Advanced Spanish — Basic

Certifications & Courses

Python Programming — DataCamp (2025)
  • Object-oriented programming in Python with TDD, automated tests with pytest and use of decorators and context managers. Data manipulation and visualization with NumPy, Pandas and Matplotlib.
AI Fundamentals — DataCamp (2025)
  • Fundamentals of Artificial Intelligence with machine learning, neural networks and generative AI. NLP applications, predictive models and discussion of ethical aspects related to algorithmic bias.
AWS Cloud Computing — Ka Solution (2025)
  • Fundamentals of cloud computing and main AWS services, including EC2, S3, RDS, IAM and VPC.

Education

Computer Science

Estácio · Undergraduate (3rd period)
2024 – 2028
Florianópolis
  • Applied academic projects, including the development of the school management system “MiniSchool”.
  • Practical application of Scrum, Kanban and Extreme Programming in planning and incremental development.
  • Contact with fundamentals of cloud computing and AWS services.
  • System structuring and modeling with focus on requirement clarity and code organization.