Building Intelligent
Defense Systems.
I am José C. S. Gregório. Computer Science Student and AI Engineering Enthusiast. Focused on AI-driven Cybersecurity and Network Surveillance.
Tech Arsenal
Core
AI & Data
Sys & Web
Featured Work
N.E.M.E.S.I.S.
Network Event Monitoring & Evaluation System for Intrusion Surveillance
An autonomous Artificial Intelligence agent designed to detect and mitigate network attacks in real-time. Unlike static firewalls, NEMESIS learns anomalous traffic patterns and evolves to identify adversarial attacks from other AIs. Built with a modern Electron GUI and a robust Python backend.
Academic Research & Algorithms
🔗 Graph Theory
Advanced concepts applied to network topology analysis and optimization.
- Shortest Path Algorithms: Dijkstra and Bellman-Ford applied to routing.
- Spanning Trees: Kruskal and Prim for infrastructure optimization.
- Graph Coloring: Register allocation and scheduling.
- Network Flow: Ford-Fulkerson for bottleneck analysis.
🧬 AI Algorithms
Heuristic solutions for NP-Hard problems like the Traveling Salesperson Problem (TSP).
Genetic Algorithms
Multithreaded implementation with selection, crossover, and adaptive mutation. Generates animated visualizations of fitness evolution.
Simulated Annealing
Stochastic optimization based on thermodynamics to escape local optima by dynamically adjusting system temperature.
Data Science & Big Data
High-Dim Analysis
Correlation strategies on massive Dataframes (+85 columns) using Pandas and dimensionality reduction techniques.
Big Data Processing
Parallel processing and lazy evaluation with Dask for datasets exceeding RAM.
Model Persistence
Training pipelines and serialization of complex models with Scikit-learn.