Naravich Chutisilp

I like computer vision and anything deep learning related.Currently, I am completing my Master's thesis at MIT in the Institute for Medical Engineering and Science (IMES). Oh! By the way, I am a gym rat and a casual chef.

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Experience & Research

  • Multi-Modal Self-Supervised Learning For 3D Medical Image Segmentation Of Cardio Calcified Plaques
  • AI4TB: An Efficient Edge-Device Interpretable Chest X-Ray Tuberculosis Detection
  • Aerial Risk Detection: A Deep Learning Solution to Help Insurance Underwriters Assess Sites from Aerial/Satellite Images
  • TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking
  • AI4Autism: An Object Detection for Autism Spectrum Disorder Diagnosis
  • Data Scientist at SCB: MerlinDIY: An AutoML for non-technical users to build and utilize deep learning models
  • Software Engineer at Taskworld: Maintaining and Developing Taskworld's Core Features
  • Quantitative Developer at WorldQuant: A Data-Driven Dashboard for Quantitative Researchers
  • Data Scientist at HOME dot TECH: An Unsupervised Learning for Real Estate Property Analysis