Projects & Code Experiments
LLM-Based Intelligent Tutoring System
An ongoing PhD project exploring how large language models can power adaptive tutoring experiences. The system provides personalized feedback and guidance to learners based on their responses.
Biomedical Image Analysis
Applied deep learning techniques (U-Net, Transformers) for segmentation and classification of biomedical images, with a focus on improving diagnostic accuracy in clinical settings.
Energy Consumption Prediction
Built time-series forecasting models to predict energy usage patterns, experimenting with LSTM networks and gradient boosting approaches on real-world datasets.
Lessons Learned: Coding Notes
A running log of tricky bugs, debugging tricks, and engineering insights from research coding.
# Always check loop exit conditions
for i in range(10):
# This will run forever without a break condition
# while True:
# print("I can't stop!")
print(i)
Lesson: Even simple loops deserve careful exit-condition review.