📍 Location: Krakow, Poland
✉️ Email: diedieh02@gmail.com
🎓 Google Scholar: scholar.google.com
💼 LinkedIn: linkedin.com/in/didihrizki
💻 GitHub: github.com/didih02

Data Scientist and Software Engineer with experience in data analysis, software development, machine learning, databases, and Linux system administration. Skilled in Python, SQL, Pandas, NumPy, Scikit-learn, and PyTorch, with experience developing data pipelines, analysing complex datasets, and building practical data-driven solutions.

Currently pursuing a Ph.D. in Computational Engineering at AGH University of Krakow, focusing on machine learning, computer vision, and efficient data processing for large-scale image analysis. Experienced as a university lecturer, researcher, software engineer, and technical instructor, including training undergraduate students in Oracle database technologies and Red Hat Linux.

Strong combination of technical, analytical, research, and communication skills, with experience working with both technical and non-technical stakeholders. Motivated to apply data-driven approaches to real-world business problems and contribute to data analytics, digital transformation, and technology-driven initiatives.

Programming Languages:

Machine Learning & AI:

Databases & Infrastructure:

2023 – Present | Krakow, Poland
Member of the Computer Vision and Artificial Intelligence Research Group

• Conduct research in machine learning, artificial intelligence, and computer vision for real-world, data-driven applications.
• Develop efficient representation learning and dimensionality reduction techniques for large-scale image analysis, with a focus on histopathological image processing.
• Design and evaluate deep learning-based approaches including transformer-based feature extraction, feature optimization, and intelligent classification methods.
• Publish research in peer-reviewed international venues, including Springer and MDPI Electronics.
  • Selected publications:
    • Springer Book Chapter on Machine Learning
    • MDPI Electronics Journal Article

2018 – Present | Malang, Indonesia

• Conduct academic research and publish scientific work in Data Science, Machine Learning, and applied computing.
• Supervise undergraduate student research projects and teach courses in computer science and data-driven technologies.
• Obtained a government-recognized professional teaching certification.
• Collaborate with students, academics, and external researchers on research projects and scientific publications.
  • Selected publications & collaborations:
    • AIP Conference Proceedings – Brain tumor classification
    • AIP Conference Proceedings – Cluster analysis of information data poverty
    • JOIN Journal – Machine learning and information system research
    • JOIV Journal – Applied computing research
    • APTIKOM Conference Series – Informatics research collaboration
    • JOIV Journal – Data-driven computing research
• Supervise and develop student software projects in collaboration with companies and community organizations, delivering web-based information systems and digital solutions.

2021 – 2022 | Malang, Indonesia

• Delivered government-funded technical training programs for undergraduate students in collaboration with Oracle Academy and Red Hat.
• Provided hands-on instruction in database technologies, Oracle, Linux system administration, and practical IT skills.
• Guided students through practical exercises and helped develop industry-relevant technical competencies.

2016 – 2018 | Surabaya, Indonesia

• Developed web- and Android-based applications for real-time maritime monitoring and early warning systems to help prevent vessel collisions with ships and offshore platforms.
• Designed and implemented data processing pipelines to handle continuous vessel data streams, including duplicate detection and filtering to maintain data quality and system reliability.
• Managed application deployment and maintenance as a Linux system administrator, supporting production environments and system operations.
• Contributed to product demonstrations and technical presentations for stakeholders.
  • Selected media coverage:
    • Super Radio – AISITS: Intelligent Maritime Monitoring System
    • VIVA – ITS Develops AISITS to Minimize Maritime Accidents
    • MINA News – ITS Launches AISITS Maritime Safety System

• Developed a feature reduction framework combining Principal Component Analysis (PCA) and Neighbourhood Component Analysis (NCA) with DINO-ViT representations for efficient image classification.
• Investigated dimensionality reduction techniques to decrease feature complexity while maintaining classification performance on large-scale image datasets.

• Implemented a deep metric learning approach integrating Modern Neighbourhood Component Analysis (MNCA) with DINO-ViT feature representations for image classification and feature optimization.
• Explored neural feature transformation and metric learning strategies to improve classification accuracy while reducing feature dimensionality.

• Ph.D. in Computer Science — AGH University of Krakow, Poland (2023 – Present)
  Research Focus: Machine Learning, Computer Vision, and Efficient Representation Learning for Large-Scale Image Analysis.
  Research Group: Computer Vision & Artificial Intelligence Group
• Master of Computer Science — Sepuluh Nopember Institute of Technology (ITS), Indonesia (2015 – 2017)
  Research Focus: Machine Learning, Data Analysis, Algorithms, and Decision Support Systems.
• Bachelor of Computer Science — University of Muhammadiyah Malang, Indonesia (2010 – 2014)
  Study Focus: Algorithms, Intelligent Systems, Software Development, and Decision Support Applications.