Portfolio Β· 2026

Hugo Herrera

Networking & Telecommunications Cybersecurity

Hugo Herrera
whoami --focus
45 Courses & credentials
5 Public projects
64 Microsoft Learn badges
11 Microsoft Learn trophies
CCNA coursework CCNP Enterprise coursework CyberOps Ethical Hacking DevNet IoT AWS Open Source

Pacific Financial NOC β€” Enterprise WAN Simulator

Live β†—

Interactive visual simulator of an enterprise WAN, built as a university project for Networking & Telecommunications Engineering. It compares a legacy MPLS/Cisco architecture with a modern 2026 design built on LEO satellite links, four wireless carriers and a perimeter firewall, across 23 modeled Chilean sites. It explores satellite handover logic and academic failure/recovery scenarios. Results are simulated and do not establish real-world availability or failover times. Zero runtime dependencies.

Network Design WAN MPLS LEO Satellites Failover / Handover HTML5 CSS3 JavaScript SVG

Flask Web App Security Audit

Live β†—

Full penetration test of a deliberately vulnerable Flask app: five findings β€” Command Injection, Reflected XSS, CSRF, unsalted SHA-256 password storage and an exposed debug console (RCE) β€” each located in source, proven with an OWASP ZAP scan of 999 requests plus manual exploits, and shipped with its own remediation. Every attack was run and verified to fire against the target and to be blocked against the hardened version.

OWASP ZAP Burp Suite Python Flask SQLite Open Source

Residential Security System

Live β†—

Automated security system with motion sensors, automatic door control, audible/visual alarm and surveillance camera. Includes nighttime logic (01:00–05:00) with autonomous activation. Runs on Raspberry Pi, Cisco Packet Tracer, or any PC in simulation mode β€” same codebase, zero changes.

Python Raspberry Pi GPIO Packet Tracer IoT Open Source

Smart Irrigation System

Live β†—

End-to-end IoT system built on Arduino with a YL-69 moisture sensor and water pump. Features automatic control via configurable thresholds, manual override, a Python GUI with 24h history chart, and a local REST API on port 8080 with a mobile-responsive web panel β€” all running 100% offline.

Python Arduino C++ Tkinter PySerial SQLite IoT Open Source REST API

Palworld Hardcore CLI

Live β†—

Native C++20 Linux CLI tool built to recover lost worlds due to Early Access game bugs and save lockouts. When a player loses a Hardcore world to an unfair glitch (e.g., getting hit through walls or geometry bugs), the in-game setting permanently locks itself. This tool performs binary reverse engineering on PlM1 (Oodle/Kraken) and PlZ (zlib) save containers, decompressing and editing the internal bHardcore & bPalLost flags to restore or re-synchronize permadeath status. Features automatic detection of Steam, Steam Deck, Proton, and Flatpak save paths, safety backups before editing, and JSON mode for scripting.

C++20 Reverse Engineering Oodle / Kraken zlib Linux / Steam Deck Open Source Proton / Steam

RivalScope β€” Competitive Team Builder & Battle Assistant

In development

Competitive desktop app (PySide6/Qt) that helps players build competitive teams. It pairs an interactive team builder with a Synergy & Gap Analysis Engine that flags weaknesses and coverage gaps, and an OpenCV-based Team Preview Assistant that reads the opponent's roster from screen capture. Backed by 449 unit tests and a GitHub Actions CI pipeline.

Python PySide6 / Qt6 SQLite Synergy Analyzer OpenCV / Sprite Matching CI / GitHub Actions Unit Testing (449 Tests)

On the bench

Roadmap

What I'm building next: an AI-assisted honeypot that maps attacker TTPs to MITRE ATT&CK, and a LoRa + MQTT IoT mesh for connectivity-free environmental monitoring. Repos go public as they take shape.

Python Machine Learning MITRE ATT&CK LoRa MQTT IoT Security

Technical Skills

Routing & Switching

OSPF EIGRP BGP VLAN STP EtherChannel HSRP NAT QoS

Network Security

ACLs IPsec VPN Firewall Network Segmentation Hardening

WAN

MPLS SD-WAN LEO Satellite Links Multi-carrier Failover

Security Testing

OWASP ZAP Burp Suite Nmap Wireshark

Labs & Tools

Cisco Packet Tracer GNS3 / EVE-NG Linux cPanel

Programming & Automation

Python C++20 Bash Git GitHub Actions

Networking & IoT

CCNP Enterprise: Advanced Routing Cisco NetAcad course Β· Duoc UC
Duoc UC Mar 11, 2026
CCNP Enterprise: Core Networking Cisco NetAcad course Β· Duoc UC
Duoc UC Jun 25, 2026
CCNA: Enterprise Networking, Security & Automation
Duoc UC 2024
CCNA: Routing & Switching
Duoc UC 2023
DiseΓ±o e ImplementaciΓ³n de Redes HΓ­bridas (Azure VNets)
Microsoft Ago 11, 2026
Network Technician Career Path Exam
Cisco Jul 01, 2026
Troubleshooting & Maintaining Cisco IP Networks
Cisco 2025
Network Support and Security
Cisco Jun 30, 2026
Network Addressing and Basic Troubleshooting
Cisco Jun 27, 2026
Emerging IoT Technology Surveillance
Duoc UC 2025
Introduction to IoT
Cisco Oct 23, 2025

Hands-on Labs

HackTheBox Academy: 27 module completion badges
HackTheBox
Modules completed Β· 27
  • Learning Process Β· Aug 11, 2026
  • Introduction to Academy Β· Aug 11, 2026
  • Linux Fundamentals Β· Aug 11, 2026
  • Introduction to Bash Scripting Β· Aug 15, 2026
  • Introduction to Networking Β· Aug 13, 2026
  • Web Requests Β· Aug 11, 2026
  • Using the Metasploit Framework Β· Aug 16, 2026
  • JavaScript Deobfuscation Β· Aug 12, 2026
  • Windows Fundamentals Β· Aug 13, 2026
  • Introduction to Web Applications Β· Aug 16, 2026
  • Getting Started Β· Aug 13, 2026
  • Intro to Network Traffic Analysis Β· Aug 16, 2026
  • Introduction to Information Security Β· Aug 13, 2026
  • Introduction to Penetration Testing Β· Aug 16, 2026
  • Network Foundations Β· Aug 13, 2026
  • Pentest in a Nutshell Β· Aug 16, 2026
  • Hacking WordPress Β· Sep 1, 2026
  • Network Enumeration with Nmap Β· Sep 1, 2026
  • Cracking Passwords with Hashcat Β· Sep 1, 2026
  • Active Directory LDAP Β· Sep 1, 2026
  • File Inclusion Β· Sep 2, 2026
  • File Transfers Β· Sep 3, 2026
  • DNS Enumeration Using Python Β· Sep 4, 2026
  • OSINT: Corporate Recon Β· Sep 5, 2026
  • Stack-Based Buffer Overflows Β· Sep 6, 2026
  • SQL Injection Fundamentals Β· Sep 7, 2026
  • Secure Coding 101: JavaScript Β· Sep 8, 2026

Cybersecurity

Respuesta a Incidentes y TaxonomΓ­a en Ciberseguridad
ANCI Chile Ago 10, 2026
Ethical Hacker
Cisco Jun 26, 2026
CyberOps Associate
Cisco 2023
Cybersecurity Defense Analyst Career Path Exam
Cisco Jul 01, 2026
Junior Cybersecurity Analyst Career Path Exam
Cisco Jun 26, 2026
Network Security
Cisco Jun 29, 2025
Endpoint Security
Cisco Jun 30, 2026
Ethical Hacking & Cybersecurity Management
Duoc UC 2025

Automation & Programming

DevNet Associate
Duoc UC 2026
Python Essentials 1
Cisco Jun 26, 2026
C++ Essentials 1
Cisco Ago 10, 2026
Linux Essentials
Cisco Jun 26, 2026

Data, Cloud & AI

AWS Academy Graduate β€” Cloud Foundations
AWS Nov 26, 2023
OrquestaciΓ³n Multiagente & Servidores MCP (Microsoft Agent Framework)
Microsoft Ago 07, 2026
MinerΓ­a de Conocimiento & RAG (Foundry IQ & Azure AI Search)
Microsoft Ago 07, 2026
Desarrollo de Agentes de Voz en Tiempo Real & Speech AI
Microsoft Ago 07, 2026
Data Science Essentials with Python
Cisco Jul 01, 2026
Artificial Intelligence Fundamentals
IBM Jun 26, 2026
Web Development Fundamentals verify β†—
IBM SkillsBuild Oct 26, 2026

Claude Academy

Claude with Google Cloud's Vertex AI verify β†—
Anthropic Oct 10, 2026
Claude Platform 101 verify β†—
Anthropic Oct 10, 2026
Claude Code 101 verify β†—
Anthropic Oct 10, 2026
Claude 101 verify β†—
Anthropic Oct 10, 2026
Introduction to Claude Tag verify β†—
Anthropic Oct 10, 2026
Introduction to Claude Cowork verify β†—
Anthropic Oct 10, 2026
AI capabilities and limitations verify β†—
Anthropic Oct 10, 2026
Other courses Β· 7
Introduction to Cybersecurity
Cisco Jun 26, 2026
Networking Basics
Cisco Jun 26, 2026
Getting Started with Cisco Packet Tracer
Cisco Mar 14, 2025
Managing a Business Venture
Cisco Jul 02, 2026
Greenhouse Gas Accounting for IT
Cisco Jul 01, 2026
HTML Essentials
Cisco Ago 08, 2026
IA y Responsabilidad: CreaciΓ³n de una IA Positiva
Santander Jul 28, 2026

Microsoft Learn Β· AI Engineer learning path

Trayectoria profesional como ingeniero de IA β€” plan de aprendizaje completado. FormaciΓ³n registrada en Microsoft Foundry, agentes de IA, protocolos MCP y A2A, generaciΓ³n aumentada por recuperaciΓ³n (RAG), visiΓ³n y voz, anΓ‘lisis con Python, aprendizaje automΓ‘tico y redes hΓ­bridas Azure.

64 distintivos de mΓ³dulos 11 trofeos Nivel 9 de Microsoft Learn

Los logros de mΓ³dulos y los trofeos son formaciΓ³n en Microsoft Learn; no equivalen por sΓ­ solos a certificaciones profesionales con examen.

Ver los 64 mΓ³dulos completados, agrupados por fecha y temΓ‘tica

Machine Learning y anΓ‘lisis de datos Β· 22 oct 2026 Β· 6 mΓ³dulos

  • Entrenamiento y evaluaciΓ³n de modelos de aprendizaje profundo
  • Entrenamiento y evaluaciΓ³n de modelos de agrupaciΓ³n en clΓΊsteres
  • Entrenamiento y evaluaciΓ³n de modelos de clasificaciΓ³n
  • Entrenamiento y evaluaciΓ³n de modelos de regresiΓ³n
  • ExploraciΓ³n y anΓ‘lisis de datos con Python
  • IntroducciΓ³n a los conceptos de aprendizaje automΓ‘tico

Redes Azure y optimizaciΓ³n de agentes Β· 11 ago 2026 Β· 9 mΓ³dulos

  • DiseΓ±o e implementaciΓ³n de redes hΓ­bridas
  • IntroducciΓ³n a las redes virtuales de Azure
  • AdministraciΓ³n y optimizaciΓ³n de las inversiones en agentes de inteligencia artificial en Azure
  • DiseΓ±o de soluciones de agente de IA escalables y rentables en Azure
  • Maximizar la eficiencia de los costos mediante la elecciΓ³n del enfoque adecuado de desarrollo de agentes de IA en Azure
  • PrevisiΓ³n de la rentabilidad de la inversiΓ³n (ROI) de los agentes de inteligencia artificial
  • DescripciΓ³n de los principales factores de costos de los agentes de inteligencia artificial
  • Identificar y priorizar casos de uso de alto impacto para agentes de IA
  • ImplementaciΓ³n de procedimientos recomendados para mejorar la eficacia del agente de IA y garantizar el Γ©xito a largo plazo

Microsoft Foundry, IA generativa, MCP y agentes Β· 7 ago 2026 Β· 42 mΓ³dulos

  • Resumen de datos con Herramientas de Foundry y Azure Database for PostgreSQL
  • CreaciΓ³n de una soluciΓ³n de minerΓ­a de conocimiento con Azure AI Search
  • ExtracciΓ³n de datos con Azure Document Intelligence
  • CreaciΓ³n de una aplicaciΓ³n cliente de Azure Content Understanding
  • CreaciΓ³n de una soluciΓ³n de anΓ‘lisis multimodal con Azure Content Understanding
  • AnΓ‘lisis de imΓ‘genes con Content Understanding
  • GeneraciΓ³n de vΓ­deos con Microsoft Foundry
  • GeneraciΓ³n de imΓ‘genes con IA
  • Desarrollo de una aplicaciΓ³n de IA generativa habilitada para la visiΓ³n
  • TraducciΓ³n de texto y voz con Microsoft Foundry Tools
  • Desarrollo de un agente de voz en tiempo real de Azure en Microsoft Foundry
  • Desarrollo de un agente de voz con el servidor MCP de Voz de Azure
  • CreaciΓ³n de aplicaciones habilitadas para voz con Azure Speech en Microsoft Foundry Tools
  • Desarrollo de una aplicaciΓ³n de IA generativa compatible con voz
  • Desarrollo de un agente de anΓ‘lisis de texto con el servidor MCP de lenguaje de Azure
  • AnΓ‘lisis de texto con lenguaje de Azure en Foundry Tools
  • AdaptaciΓ³n de la IA a la organizaciΓ³n
  • CreaciΓ³n de valor empresarial con IA
  • Aprovechamiento de las herramientas y los recursos de inteligencia artificial para la empresa
  • AdopciΓ³n de las prΓ‘cticas y los principios de inteligencia artificial responsables
  • DetecciΓ³n de agentes de Azure AI con A2A
  • OrquestaciΓ³n de una soluciΓ³n multiagente mediante Microsoft Agent Framework
  • Desarrollo de un agente de IA con Microsoft Agent Framework
  • CreaciΓ³n de flujos de trabajo controlados por agentes mediante Microsoft Foundry
  • IntegraciΓ³n del agente con Microsoft 365
  • Construir agentes de inteligencia artificial mejorados con conocimiento con Foundry IQ
  • IntegraciΓ³n de herramientas de MCP con Azure AI Agents
  • IntegraciΓ³n de herramientas personalizadas en el agente
  • Desarrollo de agentes de inteligencia artificial con Microsoft Foundry y Visual Studio Code
  • ImplementaciΓ³n de una soluciΓ³n de IA generativa responsable en Microsoft Foundry
  • OptimizaciΓ³n del rendimiento del modelo de IA generativa con Microsoft Foundry
  • Desarrollo de aplicaciones de IA generativas que usan herramientas
  • Desarrollo de una aplicaciΓ³n de chat de IA generativa con Microsoft Foundry
  • SelecciΓ³n, implementaciΓ³n y evaluaciΓ³n de modelos de Microsoft Foundry
  • Planeamiento y preparaciΓ³n para desarrollar soluciones de inteligencia artificial en Azure
  • IntroducciΓ³n a Microsoft Foundry IQ
  • IntroducciΓ³n a la extracciΓ³n de informaciΓ³n con tecnologΓ­a de inteligencia artificial en Azure
  • IntroducciΓ³n a Computer Vision en Azure
  • IntroducciΓ³n a la voz en Azure
  • IntroducciΓ³n al anΓ‘lisis de texto en Azure
  • IntroducciΓ³n a la inteligencia artificial generativa y a los agentes en Azure
  • IntroducciΓ³n a la inteligencia artificial en Azure

Fundamentos de IA y RAG Β· 6 ago 2026 Β· 7 mΓ³dulos

  • IntroducciΓ³n a los conceptos de generaciΓ³n aumentada por recuperaciΓ³n
  • IntroducciΓ³n a los conceptos de extracciΓ³n de informaciΓ³n con tecnologΓ­a de inteligencia artificial
  • IntroducciΓ³n a los conceptos de computer vision
  • IntroducciΓ³n a los conceptos de voz de IA
  • IntroducciΓ³n a los conceptos de procesamiento de lenguaje natural
  • IntroducciΓ³n a los conceptos de inteligencia artificial
  • IntroducciΓ³n a la inteligencia artificial y los agentes generativos

Verified Credentials

Verified badges link to Credly. Some open an individual credential; others open my public badge collection.

See all verified badges on Credly β†—

Cisco credentials via Cisco Networking Academy Β· Microsoft Learn Level 9 (58 Badges / 10 Trophies) via Microsoft Learn β†— Β· ANCI via Agencia Nacional de Ciberseguridad Β· CCNA, CCNP, CyberOps & DevNet taken on-site at Duoc UC. Verified on Credly β†—