As a computer science professional with a strong background in machine learning and natural language processing, I aim to develop data-driven solutions that address real-world challenges. My expertise encompasses sentiment analysis, sarcasm detection, and crafting effective prompts for large language models, with a particular focus on solving complex problems in languages with limited resources. Notably, I successfully implemented a public sentiment analysis model using BERT, achieving 62% accuracy despite working with limited computational resources. Through my participation in Kaggle competitions and research in Bangla social media analysis, I've demonstrated my ability to innovate in resource-constrained environments. In addition to my technical pursuits, I'm interested in geopolitics and current events, which drives my curiosity about societal trends. I also enjoy gaming and writing as a way to relax and maintain my problem-solving skills.