CV

🧭 Profile

Computer and Network Engineering graduate and certified AI Engineer with hands-on experience in machine learning pipelines, data analysis, and web development. Skilled in building and deploying AI solutions for NLP, Computer Vision, and recommendation systems, with a strong foundation in problem-solving and scalable system design.

🎓 Education

• Politeknik Negeri Ujung Pandang — Associate Degree in Computer and Network Engineering (2020–2024)
• SMA IT Wahdah Islamiyah — Senior High School (2018–2020)

💼 Professional Experience

• Website Administrator — Khairu Ummah Foundation (May 2025 – Present)
  Designed, developed, and launched khairuummah.or.id, implemented SEO strategies, managed hosting, and created content for the foundation's news and activity portal.
• Internship — Department of Livestock and Animal Health, South Sulawesi Province (Sep – Dec 2023)
  Responsible for documentation and letter archiving, provided basic IT training, and developed mockups for the PPID (Information Management Officer) application.

🛠 Projects

1. HerMeS – Android App
   [YouTube Demo]
   A mobile application for herbal plant information and treatment suggestions using forward chaining diagnosis.
2. Happy Foreman – Web Platform
   [Google Drive]
   A contractor service website built with CodeIgniter and MySQL for house construction and repair services.
3. Network Infrastructure Revitalization – PNUP
   [Google Drive]
   Designed a virtual network infrastructure using Proxmox with NFS-mounted containers, load balancing via reverse proxy, and server resource monitoring using Proxmox API.
4. Beef Cattle Disease Detection App (CNN-based)
   [Documentation]
   A computer vision system using CNN to detect Foot and Mouth Disease (FMD) in cattle through image analysis.
5. Khairu Ummah School Website
   [Visit Site]
   A comprehensive school portal built with PHP, HTML/CSS, and MySQL to manage announcements, registration forms, and activity documentation with an SEO-optimized structure.
6. Urban Air Quality Prediction
   [GitHub]
   Contributed to the machine learning model development using Decision Tree, Random Forest, XGBoost, Logistic Regression, and SVM for air quality forecasting.
7. Indonesian Fact and Hoax Political News Classification
   [GitHub]
   A full-cycle ML project for classifying political news as factual or hoax using supervised learning, deployment tools, and MLflow for tracking.

📄 Certifications

• Certificate of Competence for Web Programming Development – BNSP
• Best Capstone Project – Laskar Ai
• AI Engineer – Laskar Ai
• Applied Machine Learning – Dicoding
• Learning Applied Data Science – Dicoding
• Fundamentals of Data Processing – Dicoding

💡 Skills

• Technical: Python, Machine Learning (Scikit-learn, XGBoost, CNN), SQL, PHP, CodeIgniter, Git, HTML/CSS, Web Hosting, Proxmox, REST API, Figma, SEO
• Soft Skills: Critical Thinking, Analytical Mindset, Problem Solving, Communication, Collaboration, Adaptability, Attention to Detail

🌐 Languages

• Indonesian — Native
• English — Intermediate Proficiency

“I am not here to be loud, but to leave a trace…
in data, in code, in systems that serve.”

This CV is not a monument, but a mirror of growth and contribution.