Sadman Sharif is a computer science graduate from BRAC University specializing in machine learning, data science, parallel computing, and web development. Currently an Adjunct Lecturer at BRAC University, he teaches Numerical Methods, Robotics, Data Structures, and Computer Graphics. His research focuses on medical imaging, deep learning, and large language models (LLMs), with a published paper on Alzheimer's disease detection from MRI images presented at ECCE 2025. He has industry experience in web development, computer vision, and LLM applications, with technical expertise in Python, Angular, TensorFlow, and data analysis tools.

• Sharif, S., Islam, S. S., & Karim, D. Z. (2025). Detecting different stages of Alzheimer's disease from MRI images using deep learning and computer vision techniques. IEEE Xplore. https://ieeexplore.ieee.org/abstract/document/11013414

• Adjunct Lecturer | BRAC University                                                                              June 2025 - Present
  – Data Structures: Teach students Array, linked list, trees, graphs; focus on efficient problem-solving.
  – Robotics: Robot kinematics, sensors, control systems; guide design and simulation projects.
  – Numerical Methods: Solve mathematical problems using computational techniques such as interpolation, numerical integration, and solving differential equations.
  – Computer Graphics: Covered core concepts such as 2D/3D transformations, modeling & rendering.

• Technology Intern | BRAC Bank PLC                                                                            Oct 2024 - Jan 2025
  – Supported projects including OCR and ICR on banking documents using EasyOCR, PaddleOCR, Tesseract OCR,
     Llama, Qwen VL. Computer vision regarding document layout classification and identification.
  – Troubleshot technical issues and optimized network performance for increased system efficiency.
  – Assisted with OS-level configurations on computers across branches and head office to ensure reliable IT operations for one month.

• Frontend Web Developer | Spectrum Engineering                                                    May 2024 - Aug 2024
  – Integrated a microservices architecture to deliver modular, scalable UI components.
  – Collaborated with backend teams to deliver maintainable, high-performance Angular code.
  – Developed responsive front-end modules for an ERP-based web application using Angular, HTML, and CSS.

•  Student Tutor | BRAC University                                                                                May 2023 - Dec 2023
  – Worked as an Algorithm course Student Tutor (ST),
  – Guided fellow peers through challenging lab tasks and theory assignments.
  – Assisted students to understand complex algorithms into understandable components.

• Highest Distinction Awarnd
• VC's List — Achieved for 6 consecutive semesters for outstanding academic performance
• Dean's List — Achieved for 3 semesters for exceptional academic excellence.
• Certificate of Contribution — Awarded for participation and contribution at the International Conference on
  Electrical, Computer and Communication Engineering (ECCE 2025).