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Desenvolvedor Full-Stack Junior | Engenharia da Computacao - UFRN
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Assessing your cultural and operational fit
portfolio
June 6, 2026 – Present
Portfólio pessoal — React + Vite + TypeScript com design dark editorial, animações e deploy automático no GitHub Pages.
View Projectfilevault
April 9, 2026 – Present
Upload de arquivos com presigned URLs — NestJS + React num monorepo Turborepo, storage no Cloudflare R2.
View Projectcinereserve
March 22, 2026 – Present
API RESTful de cinema (Django REST + PostgreSQL + Redis + Celery): filmes, sessões e reserva de assentos com controle de concorrência, JWT, Swagger e Docker.
View Projectpython-expression-compiler
March 10, 2026 – Present
Arithmetic expression translator with lexer, LL(1) parser, and 3-address intermediate code generation in Python
View Projectdistributed-twitter-consistency
December 14, 2025 – Present
Implementation of Eventual vs. Causal Consistency in a distributed micro-blogging system using Vector Clocks and buffering strategies.
View ProjectDijkstraClassic-x-DijkstraWith.MinHeap
October 21, 2025 – November 19, 2025
Projeto para implementação e comparação de algoritmos de caminhos mínimos em grafos ponderados. Inclui implementações de Dijkstra (lista), Dijkstra otimizado com Min‐Heap e referência via NetworkX (Bellman‐Ford). Mede tempo de execução e emissões de CO2 (usando CodeCarbon) e gera CSVs e gráficos com estatísticas (média e desvio padrão).
View Projectzoonoses-inventory-dashboard
June 30, 2025 – Present
Controle de estoque multiusuário e em tempo real para centros de zoonoses — React + Supabase (Realtime, RLS). Demo ao vivo.
View Projectsector-savvy-stockpile-system
May 25, 2025 – December 19, 2025
sector-savvy-stockpile-system — GitHub repository
View ProjectLeonardoPCavalcanti
April 8, 2025 – Present
Personal GitHub profile with information about my background, skills, projects and interests.
View ProjectListaU1_Programacao_Avancada
March 14, 2024 – April 3, 2024
Lista de exercícios da disciplina Programação Avançada do Departamento de Engenharia de Computação e Automação da UFRN
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in diverse technical areas, including web development, algorithms, distributed systems, and database management. However, the target role is 'Data Scientist', and while there are projects involving algorithms and data processing (Dijkstra, CodeCarbon), there is a lack of explicit data science, machine learning, or statistical modeling projects. This suggests a potential misalignment with the specific demands of a Data Scientist role, indicating a need for further evaluation of their data science specific skills and interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive and self-directed learning approach.