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brunalandgraff/README.md

Hi, I'm Bruna Landgraff 👋

I am an Informatics Engineering student with professional experience in technical operations, incident investigation, risk analysis and customer support.

Currently, I work in Mobile Network Operations at DIGI Portugal, where I investigate service incidents, perform technical troubleshooting, collect evidence and support the resolution of network-related issues.

My previous experience includes Trust & Safety, process analysis, risk assessment and data-driven decision-making.

About Me

  • 🎓 Studying Informatics Engineering at Universidade Aberta
  • 💼 Working in Mobile Network Operations at DIGI Portugal
  • 🔎 Experienced in incident investigation and root cause analysis
  • 📊 Interested in data analysis, artificial intelligence and fraud prevention
  • 🌱 Currently developing my programming skills and technical portfolio
  • 📍 Based in Almada, Portugal

Technical Interests

  • Python
  • Data Analysis
  • Artificial Intelligence
  • Software Engineering
  • Incident Investigation
  • Root Cause Analysis
  • Technical Operations
  • Risk and Fraud Detection

Featured Projects

Student Performance Knowledge System

Knowledge-based application developed with Java and Prolog for student performance analysis, academic risk identification and dynamic data management.

  • Java command-line interface
  • Prolog inference engine and knowledge base
  • Java–Prolog integration using JPL
  • Dynamic data persistence
  • Academic grade: 4.0 / 4.0

Student Performance Decision Engine

Cross-language application developed with OCaml and Java to analyse student participation, performance and attendance through deterministic decision rules.

  • Functional data processing and parsing with OCaml
  • Java command-line interface
  • Process integration using ProcessBuilder
  • Rule-based student classification
  • Individual JSON report generation
  • Academic grade: 3.87 / 4.0

POSIX Multithreaded Merge Sort

C99/POSIX concurrent sorting pipeline using a reader thread, a configurable sorter thread pool, bounded circular buffers and an incremental merger thread.

  • POSIX Threads and mutex synchronization
  • Producer–worker–consumer architecture
  • Non-blocking buffer access with pthread_mutex_trylock
  • Cooperative yielding with sched_yield
  • Merge sort and dynamic memory management
  • Academic project assessment: 4.50 / 5.00
  • Automated VPL tests: 8 / 8 passed

Connect with Me

Pinned Loading

  1. student-performance-knowledge-system student-performance-knowledge-system Public

    Java and Prolog knowledge-based system for student performance analysis and academic risk identification.

    Java

  2. student-performance-decision-engine student-performance-decision-engine Public

    Cross-language student analytics application using OCaml for data processing and rule-based decisions, with a Java CLI and JSON reporting.

    OCaml

  3. posix-multithreaded-merge-sort posix-multithreaded-merge-sort Public

    C99/POSIX multithreaded merge-sort pipeline using reader, worker and merger threads with bounded buffers.

    C