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I am a Computer Science student and active researcher blending deep learning, natural language processing, and systems engineering. My work spans from building robust ML screening pipelines for biomedical signals to optimizing edge infrastructure and handling complex document structures. I love tackling problems that connect deep mathematical foundations with production-ready deployments.

• 🔬 Research: Currently an Undergraduate Student Researcher at TONKIT Lab, with prior research experience at NECTEC.
• 🧠 Core Expertise: Deep Learning, Natural Language Processing (NLP), Edge Computing, and Systems Programming.
• 🏆 Recent Wins: NTU Hackathon Finalist in Singapore (May 2026) and Silver Medalist at Indonesia Inventors Day (2024).
• 🤝 Community: Student instructor for the POSN (Computer Olympics) program in Thailand.

• Undergraduate Student Researcher | TONKIT Lab (Oct 2025 – Present)
  • Focusing on research skills, full-stack web development, and systems deployment.
• Student Researcher (Internship) | National Electronics and Computer Technology Center (NECTEC) (Apr 2024 – May 2024)
  • Conducted hands-on research applying Natural Language Processing (NLP) techniques.

• ThaiMCQ4Word
  • An automated tool built in association with NECTEC that generates multiple sets of multiple-choice questions (MCQs) in Microsoft Word based on document structures and layout patterns using NLP and Machine Translation.
• HeartCheck
  • A diagnostic risk assessment system utilizing Fourier Transforms to convert heart sound signals into spectrograms, analyzing them via a Convolutional Neural Network (CNN) to detect abnormalities like Murmurs and Extrasystole. Awarded a Silver Medal at Indonesia Inventors Day (IID 2024) in Bali.
• AI Cervical Cancer Cell Screening
  • Developed and deployed an AI-based binary classification model for automated cervical cell health screening during the PRAGMA Hackathon.
• Volzheimer
  • An audio screening system leveraging optimized digital signal processing and deep learning pipelines to detect early signs of cognitive impairment through spoken voice patterns.

• Finalist | NTU Hackathon (Innovating Functional Recovery) – Nanyang Technological University, Singapore (May 2026)
  • Developed hardware-software integrations using physical sensors to track precise therapeutic movements (like wrist rotation and arm extensions) to assist in physical rehabilitation.
• Silver Medalist | Indonesia Inventors Day (IID) – Bali, Indonesia (2024)
  • Recognized internationally for the development and validation of the HeartCheck neural network diagnostic pipeline.

"The best way to predict the future is to compile it."