Bridging the gap between advanced machine learning models and reliable software ecosystems.. Dedicated to designing architectures that turn analytical insights into functional software products.
Audi Husen Mustofa
Software Engineering · AI · Data Science
Based in Jakarta, Indonesia, with a strong background in data science, AI engineering, and research. Driven by a passion for understanding how data and intelligent systems can solve practical problems. Professional experience spans backend development, AI research, teaching, and IT strategic planning and governance. Actively seeking opportunities to contribute, continuously learn, and transform ideas into useful software.
PT. Bank Syariah Nasional
Facilitated the preparation of IT General Policies and Digital Maturity Assessment for Banking (DMAB) by resolving operational bottlenecks and coordinating with vendors. Streamlined the IT audit process by organizing cross-divisional data requests and building a comprehensive tracking dashboard using Data Studio. Automated the generation of BI-FAST system availability documents to improve overall reporting efficiency.
Bengkel Koding, Universitas Dian Nuswantoro
Developed machine learning learning-path materials for the Bengkel Koding LMS, contributed to text-based emotion detection research using continual learning, taught data science career workshops, and supported students preparing for LSP certification. Contributed to an automated meeting minutes application and published research recognized with Best Paper and Best Presenter awards.
Led the development of Kioku, an AI-powered meeting assistant that turns recordings into structured minutes, decisions, and action items. Built for companies and universities, it brings invitations, attendance tracking, and automated minutes distribution into one workflow.
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Conducted research on Indonesian sarcasm detection, combining an optimized classical baseline with transformer predictions and evaluating the approach’s strengths and limitations. The paper was accepted and published at iSemantic 2026, receiving the Best Paper award, while my presentation received the Best Presenter award.
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Developed a digital administration system with a team to manage Buku Lembar Desa and Berita Desa, addressing the risks of paper-based records being damaged or lost during disasters. The project aimed to make important administrative records easier for village staff to organize, preserve, and access.
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Developed six-month forecasts of Italian food prices for a BNSP Data Scientist certification project, comparing baseline, statistical, and machine learning approaches. The selected models achieved MAPE below 5% across fruit, vegetable, and meat categories, while further analysis highlighted limitations in the longer-range predictions.
Read the storyUniversitas Dian Nuswantoro
Focus: Data Science. GPA: 3.95.
Universitas Gadjah Mada
Student mobility program. Completed courses in Deep Learning, Natural Language Processing, Information Retrieval, Artificial Intelligence, Research Trends in AI, and Software Engineering Project. Earned a semester GPA of 4.00/4.00.
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