I'm Achmad Al Fauzi, an Internet Technology Engineering Student specializing in Networking

I'm a fast learner with hands-on experience in computer networking, cybersecurity, and cloud computing. I enjoy building and analyzing network infrastructures, securing systems, and exploring modern technologies.

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PythonDockerLinuxCiscoOpenStackKVM/QEMUSQLBashPythonDockerLinuxCiscoOpenStackKVM/QEMUSQLBashPythonDockerLinuxCiscoOpenStackKVM/QEMUSQLBashPythonDockerLinuxCiscoOpenStackKVM/QEMUSQLBash

My technical expertise

Specialized in cybersecurity, networking, and cloud computing with practical experience in building secure, scalable infrastructures.

Cloud Infrastructure

Cloud Infrastructure

Building private cloud environments using OpenStack (Nova, Neutron, Keystone, Glance, Horizon) for running virtualized microservices and AI workloads without vendor lock-in.

Container Orchestration

Container Orchestration

Managing containerized applications with Docker, Portainer, and Nginx Proxy Manager. Implementing centralized monitoring with cAdvisor and Dozzle for real-time log analysis.

MLOps & AI Systems

MLOps & AI Systems

End-to-end machine learning pipelines with MLflow for experiment tracking, FastAPI for production APIs, and Prometheus/Grafana for model monitoring and observability.

IoT Development

IoT Development

Designing sensor-based systems with ESP32, integrating real-time data collection with MongoDB storage, and building web dashboards with Streamlit and Telegram Bot notifications.

Security Analytics

Security Analytics

Implementing threat detection systems using honeypots (Cowrie), malware analysis with YARA and TensorFlow, and visualization through ELK Stack (Elasticsearch & Kibana).

Get in touch

Get in touch

Looking for cybersecurity or networking expertise? Let's collaborate on your next project!

Get in touch
About me illustration

Who's behind this cybersecurity work?

I'm an Internet Technology Engineering student at Universitas Gadjah Mada with a GPA of 3.81/4.00, focused on building expertise in cybersecurity, networking, and cloud infrastructure.

Top 12 Cybersecurity Training in South Korea

Selected as one of the Top 12 performers nationwide for exclusive onsite cybersecurity training with NSHC Security in South Korea.

International Networking Competition Award

Awarded the Bronze Certificate in the APJC NetAcad Riders 2025 international networking competition hosted by Cisco Networking Academy.

More about me

Take a look at my
project portfolio

Cloud Infrastructure

OpenStack Private Cloud for AI & Microservices

Built a private cloud infrastructure using OpenStack as an open-source alternative to VMware ESXi. The system runs virtualized microservices and AI workloads across three VMs: Data Lake with MongoDB, AI Worker Node with TensorFlow and YARA, and Analytics with ELK Stack. Processed 267+ security events with 71.91% classified as Critical Threats using AI-driven threat detection achieving 0.941 beaconing detection score.

OpenStackMongoDBTensorFlowYARA+3 more

267+ security events processed, 71.91% Critical Threats identified

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OpenStack Private Cloud for AI & Microservices
DevOps

Container Infrastructure Monitoring System

Developed a centralized dashboard for managing and monitoring Docker-based container infrastructure within campus network. Features real-time log monitoring, system resource tracking (CPU, RAM, disk, network), and domain-based access management through reverse proxy configuration.

DockerPortainerDozzlecAdvisor+2 more

Centralized control of all services, faster performance detection, efficient troubleshooting

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Container Infrastructure Monitoring System
MLOps

Car Price Prediction MLOps Pipeline

Implemented end-to-end MLOps pipeline for car price regression covering data preprocessing, model training with XGBoost, deployment, and continuous monitoring. System includes experiment tracking with MLflow, production-ready API with FastAPI, responsive web interface with Next.js, and real-time observability using Prometheus and Grafana.

PythonXGBoostMLflowFastAPI+5 more

Production-ready prediction system with full lifecycle management and monitoring

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Car Price Prediction MLOps Pipeline
IoT & AI

Smart Farming IoT Recommendation System

Built an agricultural decision support system integrating IoT sensors, AI models, and web application. ESP32 collects soil condition data (moisture, pH, NPK) stored in MongoDB, processed by AI models to generate crop recommendations based on environmental factors and market prices. Results displayed through Streamlit dashboard.

PythonESP32MongoDBStreamlit

End-to-end agricultural recommendation system integrating IoT, AI, and web application

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Smart Farming IoT Recommendation System
IoT Development

Automated Pet Feeding System with IoT

Designed IoT-based automated pet feeding system with real-time feed level monitoring using ultrasonic sensors, remote and scheduled feeding control, feeding history analytics, and multi-user role-based access control. Accessible via web dashboard and Telegram Bot integration for remote notifications and control.

ESP32Web DashboardTelegram BotUltrasonic Sensor+1 more

Automated feeding with remote monitoring, multi-user access, and containerized architecture

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Automated Pet Feeding System with IoT
AI & Healthcare

Cardiovascular Risk Prediction with Ensemble Learning

Developed machine learning system for early cardiovascular risk prediction using ensemble methods. Implemented feature engineering, data balancing, and compared Random Forest, Gradient Boosting, and XGBoost algorithms. Model evaluates demographic, physical, and behavioral factors to classify risk levels with improved stability over single-model approaches.

PythonRandom ForestGradient BoostingXGBoost+1 more

Stable ensemble model reducing overfitting with identified key health risk factors

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Cardiovascular Risk Prediction with Ensemble Learning
Embedded Systems

IoT Water Usage Monitoring System

Created IoT system for real-time PDAM water consumption monitoring with automated cost calculation based on official tariff rates. ESP32 reads water flow sensor data, processes volume and cost calculations, and displays results on LCD while transmitting data to users via Telegram Bot and Blynk mobile app.

ESP32Water Flow SensorLCD 2004Telegram Bot+1 more

Real-time water monitoring promoting consumption awareness and cost transparency

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IoT Water Usage Monitoring System
Security API

SecValidator API: Security Header Analyzer

Developed a RESTful API service for analyzing and validating HTTP security headers on web applications. The API scans target URLs and evaluates critical security headers including Content-Security-Policy, X-Frame-Options, Strict-Transport-Security, and more, providing detailed compliance reports and remediation recommendations.

PythonFastAPIHTTP HeadersSecurity Analysis+2 more

Automated security header validation API for web application security assessment

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SecValidator API: Security Header Analyzer
Security API

SecValidator API: Password Strength Analyzer

Built a RESTful API for comprehensive password strength analysis and validation. The API evaluates passwords against multiple security criteria including entropy calculation, common pattern detection, breach database checking, and compliance with security policies, providing detailed strength scores and improvement suggestions.

PythonFastAPICryptographySecurity Analysis+2 more

Robust password validation API supporting secure authentication implementations

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SecValidator API: Password Strength Analyzer

Achievements & Recognition

Recognition from international competitions and exclusive training programs in cybersecurity and networking.

Top 12 Cybersecurity Training in South Korea

Selected as one of the Top 12 performers nationwide to receive an exclusive cybersecurity onsite training opportunity in South Korea with NSHC Security.

Bronze Certificate - APJC NetAcad Riders 2025

Awarded the Bronze Certificate in the APJC NetAcad Riders 2025 international networking competition hosted by Cisco Networking Academy.

Semifinalist - Samsung Innovation Campus 2024

Selected as a semifinalist in the Samsung Innovation Campus 2024 competition among 4,000+ participants nationwide.

Take a look at my experience journey

From network engineering to cybersecurity, I've built a strong foundation in protecting and optimizing IT infrastructure through hands-on experience and continuous learning.

See full resume
Jul 2025 - Nov 2025
Security Manpower Training Program 2025

Security Manpower Training Program 2025

NSHC Security

Engaged in hands-on labs, real-world attack simulations, and professional mentoring with Korean cybersecurity specialists. Completed intensive malware analysis training covering reverse engineering and dynamic analysis.

Dec 2024 - Feb 2025
Cyber Defense Incident Responder Intern

Cyber Defense Incident Responder Intern

DISKOMINFO Yogyakarta - KamiSandi

Supported incident response operations including threat investigation, log analysis, and mitigation. Built internal security automation tools and implemented password strength enforcement.

Feb 2024 - Jun 2024
AI & IoT Bootcamp

AI & IoT Bootcamp

Samsung Innovation Campus Batch 5

Completed 4-month intensive training in AI & IoT with hands-on experience in sensor integration, device programming, and data communication. Delivered a functional IoT solution through capstone project.

Jun 2021 - Aug 2021
Network Engineer Intern

Network Engineer Intern

PT. Selaras Citra Terabit

Performed network equipment installation and configuration including routers, switches, and access points. Assisted in troubleshooting network connectivity issues and maintaining network integrity.