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.
Automating meeting minutes and connecting recordings, attendance, invitations, and email distribution in one workflow.
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Combining an optimized classical baseline with transformer predictions for Indonesian sarcasm detection, while examining the limits of the results.
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Digitizing village administration through document archives, regulatory workflows, and automated database backups.
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Comparing approaches to six-month food price forecasts and examining why low error alone does not guarantee useful 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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Open to work