I recently completed my Master of Science in Applied Artificial Intelligence at National Taiwan Ocean University (NTOU), where I specialized in interpretable multi-task deep learning for biomedical image analysis.
My research sits at the intersection of AI, computer vision, multimodal learning, image processing and explainable AI — building systems that not only perform well, but can be understood and trusted in clinical settings. I'm drawn to problems where AI interpretability genuinely matters: where a "black box" is not good enough.
Submitted · Computer Methods and Programs in Biomedicine (2026)
A first-author interpretable multi-task framework for cleavage-stage embryo assessment, jointly performing cytoplasmic fragmentation segmentation and morphological classification. Built with PyTorch, designed to be clinically explainable from the ground up.
→ [Thesis: Assessment of Cleavage-Stage Embryo Development Using Ensemble Heterogeneous ML Models]
AI Assistant for Automatic Interpretation of Reproductive Medical Images
A multimodal Vision-Language system that interprets Time-Lapse Imaging (TLI) of embryos, generating semantic descriptions, automated fragmentation and symmetry grading, abnormal cleavage alerts, and full embryo summary reports. Developed with the Golden AI Visionary team at NTOU.
"Reduce subjective judgment in embryo assessment, improve interpretability of black-box TLI systems, and support Shared Decision Making between embryologists and patients."
| Degree | Institution | Grade | Year |
|---|---|---|---|
| M.S. in Applied Artificial Intelligence | National Taiwan Ocean University, Taiwan | A++ | 2024–2026 |
| B.Tech in Information Technology | Dr. M.G.R Educational and Research Institute, India | A++ | 2019–2023 |
Deep Learning & AI
PyTorch · TensorFlow · Keras · YOLOv12 · SAHI · Inception-ResNet-V2 · Vision-Language Models
Languages
Python · C++ · Java · SQL · JavaScript
Data & Analytics
Pandas · NumPy · Tableau · Power BI
Web & Tools
Django · Flask · Flutter · Git · Docker · Jupyter · Google Colab
Data Science Intern Codtech IT Solutions (Apr–Aug 2025) Deployed ML models for business solutions; built data preprocessing and optimization pipelines.
2025 NCHU Semiconductor Summer School — National Chung Hsing University (Aug 2025) Intensive 10-day program in IC Design, Semiconductor Manufacturing, and hands-on SEM/AFM lab work.
Machine Learning Intern — L&T EduTech, India (Feb–Jun 2023) Deep Learning classifiers; real-time model evaluation and dataset management.
- EMBRACE Computer Methods and Programs in Biomedicine, submitted July 2026
- ST-MIND: AI-Based Interactive Student Educational Application — Journal of Interdisciplinary Cycle Research, vol. XV, no. IV, pp. 88–92, April 2023
- 🥇 Excellent Award — Best AI Awards International Competition, 2025
- 🎓 **Academic excellence, M.S. program (2024–2026)
- 🎓 **merit award, AICTE, Govt. of India (2019–2023)
- 🏆 1st Place — Digital India Week Quiz, 2022
Photography · Traveling · Cooking
"Dream big, work hard, stay humble."