CV

General Information

Full Name M Sakib Osman Eshan
Email eshan.bd@outlook.com
Phone 8801832497111
Location Dhaka, Bangladesh
Languages English, Bangla

Education

  • 2019-2023
    Bachelor of Science in Computer Science and Engineering
    BRAC University, Dhaka, Bangladesh
    • CGPA 3.52
    • Courses
      • Linear Algebra
      • Calculus
      • Probability and Statistics
      • Numerical Methods
      • Data Structures and Algorithms
      • Artificial Intelligence
      • Neural Networks

Standardized Tests

GRE 322
IELTS 7

Publication

Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 81–88. https://doi.org/10.1109/DICTA60407.2023.00020

Experience

  • 2023 - Present
    Associate Software Engineer
    Brain Station 23
    • Developed and maintained Internet Banking and Digital Wallet applications using Java, RDBMS, REST API, and event-driven architecture.
    • Collaborated with cross-functional teams.
    • Resolved production issues.
    • Mentored team members.
    • Optimized production environments on Linux servers.
    • Implemented high-performance caching solutions using Redis.
  • 2022 - 2023
    Undergraduate Researcher
    Department of Computer Science and Engineering, BRAC University
    • Conducted research on federated learning with adversarial robustness and medical image analysis.
    • Designed and implemented medical image classifiers.
    • Experimented with adversarial attacks and aggregation methods.
    • Developed a Vision Transformer-based disease detection model.
    • Applied Paillier homomorphic encryption in federated learning.

Projects

  • 2023
    Encrypted Federated Learning for Detecting Skin Lesions
    • Explored image augmentation methods like SMOTE to handle class imbalance and applied a BFV-based homomorphic system in federated learning.
  • 2023
    Malaria-Infected Cell Classifier using Vision Transformer
    • Developed a Vision Transformer model achieving 95.48% accuracy for malaria-infected cell classification.
  • 2022
    Explainable Neural Network for Alzheimer’s Disease Analysis
    • Trained a classifier using InceptionV3 and VGG19 and incorporated regional explanations using LIME.
  • 2024
    Internet Banking Solution
    • Developed scalable microservices-based Internet banking solutions for AB Bank, Modhumoti Bank, and NCC Bank.
  • 2024
    Digital Wallet
    • Designed and maintained a digital wallet for ABG Pocket, enhancing system performance and user experience.

Volunteer Experience

  • 2019-2021
    Executive, Robotics Club of BRAC University
    • Organized events
    • Mentored new members
    • Participated in Soccer Bot Competition, MindSparks 20

Honors and Awards

  • 2023
    • Academic Distinction Award
  • 2023
    • VC’s List

Academic Interests

  • Machine Learning
    • Federated learning
    • Security
    • Privacy
    • Explainability
  • Medical Image Analysis
    • Disease detection
    • Image classification

Skills

  • Programming Languages
    • Python
    • Java
    • SQL
    • JavaScript
  • Libraries and Frameworks
    • TensorFlow
    • Keras
    • PyTorch
    • OpenCV
    • Pandas
    • Scikit-Learn
    • Spring
    • Hibernate
    • Vue
  • Tools
    • Git
    • Linux (RHEL)
    • Docker
    • Kubernetes
    • Jenkins
    • PyCharm
    • IntelliJ
    • Latex