I am a Machine Learning Engineer at Nomura Research Institute Indonesia, with over three years of experience in AI/ML research and engineering. Previously, I worked as an AI Engineer at Qlue. My work mainly focused on developing computer vision solutions, and more recently, I have been exploring large language models (LLMs), multimodal models, and retrieval-augmented generation (RAG) solutions.

I graduated from Biomedical Engineering at the School of Electrical Engineering and Informatics at Institut Teknologi Bandung. For my thesis, I worked on diabetic retinopathy severity classification using a deep learning model, supervised by Professor Astri Handayani and Professor Tati Latifah Erawati Rajab Mengko. After graduation, I continued this research as a research assistant. Previously, I also worked as a research assistant at the Indonesian Institute of Sciences, focusing on optical sensor.

In June 2024, I was awarded the fully funded Indonesia Endowment Fund for Education (LPDP) scholarship to pursue a master’s degree abroad. I will be applying for programs starting in fall 2025. Here is my CV.

Publications

• Diabetic Retinopathy Classification Using a Hybrid and Efficient MobileNetV2-SVM Model
  Taufiqurrahman, S., Handayani, A., Hermanto, B. R., & Mengko, T. L. E. R.
  2020 IEEE REGION 10 CONFERENCE (TENCON), November 2020.
  [DOI] [Link]

• Free Spectral Range and Quality Factor Enhancement of Multi-Path Optical Ring Resonator for Sensor Application
  Taufiqurrahman, S., Dicky, G., Estu, T. T., Daud, P., Mahmudin, D., & Anshori, I.
  AIP Conference Proceedings, September 2020.
  [DOI] [Link]

• Sensitivity Enhancement of Silicon-on-Insulator Multipath Ring Resonator Using Gold Nanodisk for Sensor Application
  Dicky, G., Taufiqurrahman, S., Estu, T. T., Wijayanto, Y. N., Manurung, R. V., Mahmudin, D., Anshori, I., & Daud, P.
  Makara Journal of Science, September 2020.
  [DOI] [Link]