Shafayet Rajit

Narayanganj, Bangladesh | shafayet.rajit.101@gmail.com

I am a Computer Science and Engineering graduate from North South University, Bangladesh. I currently serve as an Artificial Intelligence Trainer at Invisible Technologies Inc. While passionate about AI, my curiosity extends to Biomedical Engineering, where I actively participate in research studies. My goal is to create meaningful impact through my work. Adaptable and eager to learn, I thrive in challenging environments, constantly seeking opportunities for professional growth.


Experience

Artificial Intelligence Trainer

Invisible Technologies Inc., USA

In my role, I work on teaching Large Language Models (LLM) to focus on the minute details and nuances present in a video. This not only advances the proficiency of foundation models but also plays a crucial role in shaping the trajectory of visual media for the future.

April 2024 - Present

Research Assistant

North South University, Bangladesh

Department of Electrical and Computer Engineering.

Supervisor: Dr. Shahnewaz Siddique

Research domain:

  • Medical Imaging
  • Computer Vision
  • Deep Learning
  • Federated Learning

December 2023 - Present


Education

North South University, Bangladesh

Bachelor of Science

Computer Science and Engineering

Major elective courses:

  • CSE 465: Pattern Recognition and Neural Network
  • CSE 495: Introduction to Robotics

Minor elective course:

  • CSE 496: Introduction to Biomedical Engineering

2019 - 2023


Publications

  1. Md Yearat Hossain, Md Mahbub Hasan Rakib, Shafayet Rajit, Ifran Rahman Nijhum, and Rashedur M. Rahman, “Adaptive and Automatic Aerial Image Restoration Pipeline Leveraging Pre-Trained Image Restorer with Lightweight Fully Convolutional Network”, Expert Systems with Applications, 2024, 125210. DOI

Research

Multi-class Brain Tumor Classification of MRI Image using Federated Learning with Blockchain

CSE499 - Undergraduate Dissertation

Supervisor: Dr. Shahnewaz Siddique

Molecular-fingerprint based QSAR Analysis to predict SARS-CoV-2 3CLpro inhibitors using enumerated SMILES

CSE498R - Directed Research Project

Supervisor: Dr. Tanzilur Rahman

Multi-label Classification of Bengali Hate Comments on Social Media

CSE465 - Pattern Recognition and Neural Network Project

Supervisor: Dr. Mohammad Ashrafuzzaman Khan

Post-Covid Psychological Distress Detection Using Machine Learning Techniques

CSE299 - Junior Design Research Project

Supervisor: Dr. Shahnewaz Siddique


Skills

Programming Languages & Tools
  • Programming: Python, C, Java, C++, R, Matlab.
  • Frameworks: RDKit, Keras, Tensorflow, PyTorch, Pandas, Matplotlib, OpenCV, Scikit learn, Flask.
  • OS: Linux, Windows, MacOS.
  • DevOps: Git, Postman, MS Power BI, Tableau, MS Office, LaTex.
  • Back-end: Django, FastAPI, MySQL, PostgreSQL.
  • Front-end: HTML, CSS, Javascript, Bootstrap.

I want to work in
  • Biomedical Engineering, Bioinformatics, Medical Imaging, Drug Discovery.
  • Computer Vision, Natural Language Processing.
  • Deep Learing, Federated Learning, Machine Learning, Artificial Intelligence.

Extra-Curricular Activities

Treasurer

NSU ACM Student Chapter

The role of the Treasurer is to oversee the fiscal matters of the student chapter and keep ACM headquarters as well as NSU authorities informed about the chapter's activities. Previously, I managed the Corporate and Publications team within NSU ACM SC. I have also served as a Mentor where I helped chapter members understand course-related topics.

January 2022 - Januray 2023

Student Member

Association for Computing Machinery (ACM)

Student Member

Institute of Electrical and Electronics Engineers (IEEE)

Interests

I unwind with a good book or immerse myself in fantastical worlds through movies, TV series, and open-world games. My taste in movies is eclectic, and I enjoy everything from gripping sci-fi to captivating historical drama. Whenever possible, I hit the road to explore new places and cultures. I occasionally write on Medium about various engineering concepts. Feel free to check out my Letterboxd and Goodreads profile.


Additional Resource

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