Curriculum Vitae

Backend engineer with a background in data engineering and applied AI research. Built a cloud data warehouse and ETL/ELT pipelines on Google BigQuery, moved orchestration onto Apache Airflow, and prepared the datasets behind demand-forecasting models. Five publications in machine learning and NLP. Currently reading for a master's in AI at National Taipei University.

Experience

Exium Studio — Backend Engineer

Remote, Indonesia · Jul 2026 – present

PT Tri Karya Global (HSR Wheel) — Data Engineer

Bandung, Indonesia · Sep 2025 – Jul 2026

• Established a scalable cloud data warehouse by designing ETL/ELT pipelines from SQL-based operational systems (POS, ERP and warehouse) into Google BigQuery, centralising revenue and inventory analytics.
• Migrated orchestration from MageAI to Apache Airflow on Kubernetes, making data processing automated and markedly more reliable.
• Delivered analytics-ready data marts through structured transformation, cleaning and validation, aligned to business KPIs.
• Prepared clean time-series datasets for model training (ARIMA demand prediction), supporting data-driven purchase-order optimisation.

Timedoor Academy — Curriculum Maker

Semarang, Indonesia · Apr 2026 – Aug 2026

• Wrote the entire second-term course for kids aged 8–12, 90-minute lessons all built on one repeatable format so every class runs the same way.
• Kept quality even across lessons by reviewing each one in three passes: is the content correct, does it meet teaching standards, and can a child that age actually follow it.
• Gave teachers a clear read on what students understood by building 10 checkpoints into every lesson — three discussion questions, a short quiz mid-way, and a four-question quiz at the end.

Timedoor Academy — Programming Teacher

Semarang, Indonesia · Jul 2025 – Aug 2026

• Taught foundational programming concepts including logic structures, event-driven programming and object interaction using Scratch, Roblox Studio, JavaScript and Python.
• Mentored students in building interactive digital products from ideation to deployment.

Mailtarget — Project Manager Officer (Internship)

Semarang, Indonesia · Sep 2024 – Feb 2025

• Organised and prioritised the product backlog while maintaining documentation in Outline and Google Workspace.
• Evaluated sprint performance and recommended improvements to backlog management and development workflow.

Education

National Taipei University — Master of Artificial Intelligence Application and Management

New Taipei, Taiwan · Aug 2026 – present

Dian Nuswantoro University — Bachelor of Informatics Engineering

Semarang, Indonesia · Aug 2019 – Aug 2023 · GPA 3.82/4.00

Admitted to the Excellent Class programme, which took 40 students out of 800.

Universitas Gadjah Mada — Student Mobility, Computer Science

Yogyakarta, Indonesia · Aug 2021 – Dec 2021 · GPA 3.51/4.00

Publications

ORCID: 0000-0003-2563-378X

1. Farhansyah, M. R., Johari, M. Z. F., Amiral, A., Purwarianti, A., Yuana, K. A., & Wijaya, D. T. (2024). DriveThru: a Document Extraction Platform and Benchmark Datasets for Indonesian Local Language Archives. arXiv:2411.09318v2.
2. Rafrastara, F. A., Supriyanto, C., Amiral, A., Amalia, S. R., Al Fahreza, M. D., & Ahmed, F. (2024). Performance Comparison of k-Nearest Neighbor Algorithm with Various k Values and Distance Metrics for Malware Detection. Jurnal Media Informatika Budidarma, 8(1), 450–458.
3. Supriyanto, C., Rafrastara, F. A., Amiral, A., Amalia, S. R., Al Fahreza, M. D., & Abdollah, M. F. (2024). Malware Detection Using K-Nearest Neighbor Algorithm and Feature Selection. Jurnal Media Informatika Budidarma, 8(1), 412–420.
4. Rosa Amalia, S., Adrian Surya Saputra, M., Zufar Majid Suprayogi, A., Amiral, A., Ahnaf Dhiyaul Khoir, L., Hastuti, K., & Maulana Syarif, A. (2022). Model Konversi Notasi Kepatihan ke dalam Format MIDI untuk Pembangkitan Musik Barat Orisinal. Techno.Com, 21(3), 714–724.
5. Amiral, A., Adrian Surya Saputra, M., Zufar Majid Suprayogi, A., Rosa Amalia, S., Ahnaf Dhiyaul Khoir, L., Hastuti, K., & Maulana Syarif, A. (2022). Pembangkitan Musik Klasik Menggunakan Metode Long-Short Term Memory. Seminar Nasional Teknik Elektro, Informatika dan Sistem Informasi.

Skills

• Languages — Python, R, C#, SQL
• Data — Google BigQuery, Apache Airflow, Kubernetes, ETL/ELT, data modelling
• AI/ML — machine learning, deep learning, NLP, computer vision
• Other — Unity Engine, Figma, Adobe Illustrator, Adobe Photoshop
• Spoken — Indonesian (native), English

Certifications

• NVIDIA Deep Learning Institute — Deep Learning Program · Aug – Nov 2022
• Orbit Future Academy — AI Mastery Program, GPA 4.00/4.00 · Feb – Jul 2022
• Cisco Networking Academy — IT Essentials, Cybersecurity Essentials · Jul – Sep 2022

Contact

• afinzaki.amiral@gmail.com
• LinkedIn