SK

Sirada Kittipaisarnkul

Available to hire

I am a results-driven Machine Learning Engineer and AI Systems Architect with a Master's degree in Artificial Intelligence for Medical Imaging.

About

I am a results-driven Machine Learning Engineer and AI Systems Architect with a Master’s degree in Artificial Intelligence for Medical Imaging. My hands-on experience in delivering end-to-end AI, data, and automation solutions allows me to bridge the gap between machine learning, data analytics, and low-code system design. I am passionate about integrating ML models, LLMs, and business automation tools to accelerate decision-making and drive digital transformation. My goal is to leverage my skills to create impactful intelligent systems that improve efficiency and decision-making processes in various industries.

  • 3 years' experience
  • Joined March 2026

Languages

  • EnglishFluent
  • ThaiFluent

Industry experience

  • Healthcare
  • Government
  • Financial Services
  • Life Sciences
  • Software & Internet

Work experience· 5 roles

Power Apps Developer (Low-Code / No-Code) · Securities and Exchange Commission of ThailandOct 2025 – Present · 1 yr 2 mos

Designed and deployed end-to-end low-code AI systems integrating Microsoft Power Apps, Power Automate, and ML models to automate analytical workflows. Led requirement gathering, system architecture, and database design, ensuring scalable, modular, and user-friendly automation solutions. Improved process efficiency by 30-90% through intelligent workflow automation.

Research Intern - Automated Detection of DRESS Syndrome · Radboud University Medical CenterFeb 2025 – Jul 2025 · 6 mos

Developed AI pipelines for disease detection using weakly supervised deep learning. Conducted data preprocessing and model interpretability analysis, achieving 94.8% accuracy and 90.9% F1-score. Collaborated with clinicians for actionable insights.

Research Intern - Reproducibility Analysis of MRI Radiomics Features · Danube Private UniversityJul 2024 – Nov 2024 · 5 mos

Performed quantitative analysis of imaging features across protocols, assessing stability and reproducibility under varying acquisition parameters.

Front End Developer · Allianz Technology ThailandJul 2022 – Aug 2023 · 1 yr 2 mos
Cyber Security Intern · Securities and Exchange Commission of ThailandJun 2021 – Aug 2021 · 3 mos

Education

M.Sc. in Computer Science (Medical Imaging & AI) · Université de Bourgogne, Universita degli Studi di Cassino e del Lazio Meridionale, University of Girona2023 – 2025
Bachelor of Engineering · King Mongkut’s University of Technology Thonburi2018 – 2022

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