Currently pursuing Masters leading to PhD in AI & Robotics at Sejong University, South Korea
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π¬ Student Researcher at MINES Lab (Mobile INtelligent Embedded System LAB), Sejong University
- Specializing in Vision AI and Computer Vision
- Working on cutting-edge research in intelligent embedded systems
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π Masters β PhD Candidate in AI & Robotics Department, Sejong University, South Korea
- Focus: Deep Learning, Computer Vision, and Robotics
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π€ AI Engineer at National Center of Robotics and Automation (NCRA-CMS Lab, MUET)
- Deployed AI models into mobile and web applications
- Embedded AI models into robotics machines
- Developed condition monitoring systems using deep learning
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π Research Assistant at NCRA-CMS Lab, MUET
- Led projects on robotics and image processing
- Developed traction motor fault detection systems
- Real-time train wheel defect detection systems
- Deep Learning & Computer Vision
- Robotics & Autonomous Systems
- Vision AI & Real-time Detection Systems
- Transfer Learning & Model Optimization
- Predictive Maintenance using AI
- πΌ Portfolio: https://portfolio-sj.netlify.app/
- π§ Email: [email protected]
- π¬ Ask me about: Machine Learning, Deep Learning, Computer Vision, and Robotics
- β‘ Fun fact: I think I'm Funny
- π Ambassador - DeepLearning.AI (Worldwide)
- π Ambassador - Streamlit (Worldwide)
- π Vice Chair - IEEE Computer Society, MUET Chapter
- π Vice Chair - ACM/Women, MUET Chapter
- π Chair - ACM, MUET Chapter
- π Reviewer - NMITCON, IEEE Bangalore
- "FaultSeg: A Dataset for Train Wheel Defect Detection" - Scientific Data Journal (Nature), 2024
- "Harnessing Machine Learning for Accurate Smog Level Prediction" - VAWKUM Transactions on Computer Sciences, 2025
- "Predictive Maintenance in Urban Railway Systems" - GCWOT2024 Conference, IEEE
- "Towards Smarter Road Maintenance: YOLOv7-Seg for Real-Time Detection" - ICPR 2024
Let's connect and collaborate on innovative AI and robotics projects!



