Full Stack Developer | AI & ML Enthusiast
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CSE graduate with a foundation in Python, web development- JavaScript, React, FastAPI, Django, DRF, Flask, PostgreSQL, and machine learning- NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch. Currently seeking opportunities to apply technical skills in a role.
Python Developer Intern at Brainwave Matrix Solution (March 2025 – May 2025, Remote)
Worked remotely on developing a full-stack Inventory Management System using Django and PostgreSQL. Built features for real-time stock tracking, automated alerts, and efficient database management. Focused on backend development, database design, and implementing scalable, maintainable solutions to support business operations.
Bachelor of Science in Computer Science and Engineering from East Delta University
Completed an undergraduate thesis titled “Code Smell Detection Using Machine Learning Algorithms With Hyperparameter Optimization: An Empirical Investigation.” The research focused on detecting code smells using machine learning models including KNN, Naive Bayes, XGBoost, AdaBoost, Gradient Boosting, Decision Tree, SVM, and Random Forest. Emphasized hyperparameter optimization and addressed data imbalance using SMOTE to improve model performance. Conducted under the supervision of Kazi Ekramul Hoque (Assistant Professor, SoSET, EDU), contributing practical insights to software engineering research.
