Kamrul Hasan

• Devised EfficientNet-X to resolve class imbalance in skin cancer diagnostics, delivering a 6.2M parameter model for 4-class lesion classification.
• Processed 23,000+ augmented images with visually verifiable Grad-CAM interpretability.
• Managed remote experimental workflows for collaborative healthcare AI research, strictly adhering to confidentiality protocols.

• Working on machine learning projects involving data preprocessing, classification, clustering, and predictive modeling.
• Applying Python, Pandas, Scikit-learn, and related tools to build and evaluate machine learning models.
• Performing data cleaning, feature engineering, model training, and performance analysis.
• Gaining hands-on experience with supervised and unsupervised learning technique

• Organized 11 competitive programming contests for 300+ participants, increasing club engagement by 40% through structured training and community initiatives.
• Designed and authored 52 algorithmic programming problems covering data structures, graphs, dynamic programming, and implementation challenges.
• Mentored 50+ students in competitive programming and problem-solving, helping participants a

• Delivered a 3-month curriculum on C++, data structures, and algorithms to 300+ students through hands-on coding sessions and structured workshops.
• Taught core programming concepts including OOP, STL, debugging, and problem-solving using real-world coding examples and contest-style exercises.
• Developed learning materials and guided students through practical implementation challenges, helping

Managed operations, budgeting, and client relationships for a garment accessories company. Supported planning and digital growth initiatives.

Conducted market analysis and executed growth campaigns. Coordinated with sales, logistics, and finance teams to streamline operations.

GPA: 3.98/4.00

Grade: 3.98/4.00

Pursuing a Bachelor of Computer Science with a focus on Computer Programming, maintaining a GPA of 3.98/4.00.