Sakil Sarker

I am a master's student at Ontario Tech University (OTU) Computer Science Program, specializing in Artificial Intelligence. My research focuses on Human-AI Interaction and Large Language Models (LLMs). Additionally, I serve as both a Teaching Assistant and Graduate Research Assistant at OTU.

Prior to my master's studies, I earned a B.Sc. in Computer Science and Engineering from East West University (EWU), where I also held the position of Undergraduate Teaching Assistant (UTA). Subsequently, I worked as a Software Engineer at BJIT Ltd. During my undergraduate studies, I gained valuable experience as a Deep Learning Research Intern at Carnegie Mellon University, where I collaborated with Dr. Min Xu and Mostofa Rafid Uddin on leveraging machine translation for protein structure prediction.



News
  • Started working as a Graduate Research Assistant at Ontario Tech University (Sept 1, 2024 - Present).
  • Started working as a Teaching Assistant at Ontario Tech University (Sept 1, 2024 - Present).
  • Started my MSc at Ontario Tech University in Computer Science (Sept 1, 2024 - Present).
  • Started Working at BJIT Ltd. as a Software Engineer (Oct 2021 - Aug 2024).
  • Graduated from East West University (Sept 2021).
  • Awarder the Dean's Scholarship (Sept 2019).
  • Awarder the Medhalalon Fund Scholarship (Sept 2020).

Publications

For an up-to-date list with citations, please refer to my Google Scholar page.

Research Papers

  1. Rudaiba Adnin, Ishita Haque, Sadia Afroz, Alvi Md. Ishmam, Sakil Sarkar, Md. Kafi Khan, Afsana Mimi, Sriram Chellappan, and A. B. M. Alim Al Islam. "Focusing on the Unfocused: Understanding the Impact of Online Interactions with Small-Scale Non-Profit Organizations Working for the Benefit of Street Children in Bangladesh."

  2. Md. Kafi Khan, Syed Mahmud Ahmed, Sakil Sarkar, Mozammel H A Khan. "K-Cosine-Medoids Clustering Algorithm."

  3. Md. Kafi Khan, Sakil Sarkar, Syed Mahmud Ahmed. "K-Cosine-Means Clustering Algorithm."

  4. Md. Kafi Khan, Sakil Sarkar, Md Nayeem. "Exploring Social Media Trends to Get Insights on the Sentiments of the People of Bangladesh in the Time of COVID-19."

  5. Sakil Sarkar. "A Taxonomy of Research Addressing Both Psychological and Physical Well-Being Technologies."

Teaching Experiences

Ontario Tech University - Teaching Assistant

  • Artificial Intelligence - 72751 (Winter 2025): Conducting tutorials to support students in understanding AI concepts, applications, and techniques.
  • Big Data Analytics - 73821 (Winter 2025): Conducting lab sessions and delivering lectures focused on hands-on learning for big data frameworks and tools.
  • Systems Programming - 74722 (Winter 2025): Assisting students with advanced programming concepts and systems-level programming tasks.
  • Data Mining - 45574 (Fall 2024): Assisted with lab sessions, provided technical support, and guided students in data mining techniques and algorithms.
Fall 2024 - Present

East West University - Undergraduate Teaching Assistant

  • CSE103 Structured Programming: Supported students in understanding the fundamentals of structured programming and debugging.
  • CSE101 Computer Fundamentals: Helped students grasp basic computing concepts, including hardware and software fundamentals.
  • CSE498 Social and Professional Issues in Computing: Assisted students in exploring the ethical and societal impacts of computing.
  • CSE350 Data Communications: Guided students in learning data transmission and networking principles.
  • CSE207 Data Structure: Helped students master fundamental data structures, such as arrays, stacks, queues, and trees.
  • CSE325 Operating Systems: Provided hands-on support in learning operating system concepts, such as process management and synchronization.
January 2019 - June 2021

Working Experience

Ontario Tech University - Graduate Research Assistant and Teaching Assistant

  • Conducted cutting-edge research on Human-AI Interaction and Large Language Models (LLMs), contributing to novel insights in the field.
  • Designed and executed experiments, resulting in measurable advancements in AI model interpretability and interaction design.
  • Provided academic support by leading undergraduate lab sessions, offering technical guidance, and simplifying complex topics for students.
September 2024 - Present

BJIT Group - Software Engineer

  • Developed robust solutions as a SAP full-stack developer, specializing in SAP ABAP and FIORI, to enhance enterprise resource management systems.
  • Designed and implemented custom modules to streamline data processing, ensuring scalability and reliability for enterprise-level clients.
  • Collaborated on data analytics projects, utilizing machine learning models for predictive insights into business operations.
  • Led the development of full-stack web applications, integrating frontend and backend technologies for diverse business use cases.
  • Ensured project success by coordinating with cross-functional teams, including quality assurance and client-facing departments.
October 2021 - August 2024

East West University - Undergraduate Teaching Assistant

  • Supported faculty by delivering tutorials, grading assignments, and mentoring students on theoretical and practical aspects of programming.
  • Provided hands-on guidance to students in debugging and optimizing their code for complex algorithms and data structures.
September 2019 - June 2021

Carnegie Mellon University - Deep Learning Research Intern (Remote)

  • Collaborated on leveraging machine translation techniques to improve protein structure prediction, contributing to advancements in bioinformatics.
  • Designed and executed deep learning experiments, optimizing models for increased accuracy and efficiency in data analysis.
  • Documented findings and presented results to research teams, fostering collaboration and knowledge sharing within the group.
May 2021 - October 2021

Notable Projects

Advanced Email Spam/Ham Detection System Using Transformer-Based Model

Tools: Python, Transformers | Skills: Machine Learning, Transfer Learning

Developed a transformer-based model with transfer learning to classify emails as spam or not. Integrated the model into a web application with real-time predictions and confidence scores.

Project is available on GitHub.

AI-Powered Recruitment Advisor

Tools: Python, Large Language Models (LLMs) | Skills: AI, Diversity in Hiring

Streamlined the recruitment process using Large Language Models (LLMs) for resume screening, interview question generation, and promoting diversity in hiring practices.

Project is available on GitHub.

Brain Tumor Detection Using Deep Learning

Tools: Python, TensorFlow, Keras | Skills: Deep Learning, Medical Imaging

Built a convolutional neural network (CNN) model to detect brain tumors from MRI scans, achieving high precision and recall rates to aid in early diagnosis.

Project is available on GitHub.

E-commerce Website

Tools: Django, Python, HTML, CSS | Skills: Web Development, Backend Development

Created a full-stack e-commerce platform with a secure payment gateway, inventory management, and a responsive design optimized for user experience.

Project is available on GitHub.

Awards & Honors

  • Dean's Scholarship 2019
  • Medha Lalon Fund Scholarship 2020
  • 2rd Place - Outstanding Performance in SAP ABAP and Fiori Training, BJIT Ltd.

Get in Touch

Address

22000 Simcoe St N
Ontario Tech University
Oshawa, ON L1G 0C5
Canada

Email

sakilsarkerewu@gmail.com
sakil.sarker@ontariotechu.net

Connect with Me