QUAZI SABRINA SARWAR

[ adxrwt@r.postjobfree.com Linkedin: www.linkedin.com/in/quazi-sabrina-sarwar-128674242 github.com/Quazi-Sabrina-Sarwar SKILLS

Languages:

Java, Python, C++, JavaScript/HTML/CSS.

Experienced Technologies:

Django, Wordpress

LEADERSHIP

Edecor

November 2022-Present

• Guided interns to handle the wordpress web-

site.

• Supervised two intern’s work in developing

CSV(Comma-separated values) files.

BRAC University

June 2021-April 2022

• Advised students how they could secure good

marks in a course as a student tutor.

ACTIVITIES

General Member at Robotics club

BRAC University

January 2018- April 2022

• Took part in club activities and participated in a competition called INTRA UNIVERSITY TECH

CARNIVAL 2019 which was arranged by this

club.

Volunteer

BRAC University

February 2020

• Worked as a general member at community ser-

vice club and had participated in blood donation

camp as a volunteer.

ACHIVEMENTS &

AWARDS

INTRA UNIVERSITY PROGRAM-

MING CONTEST

BRAC University

• Ranked 9th in BRACU Intra Programming Con-

test(Senior) in Fall19.

Highest Distinction

BRAC University

• Graduated with Highest Distinction from BRAC

University.

EDUCATION

BSc in Computer Science Engineering

BRAC University

Spring 2018 – Spring 2022 CGPA:3.84/4

• Major: Computer Science Engineering

EXPERIENCE

Junior Software Developer

Edecor

November 2022 – Present

• Edecor is the first e-commerce based company in Bangladesh where all type of exterior and Interior Decor material is avail- able.

• Increased the speed of the website called Edecor by 10% by implementing object Caching in WordPress.

Student Tutor(7 months)

BRAC University

October 17,2021– April 30, 2022

• Guided students to understand the course materials of Pro- gramming Language I,Programming Language II and Digital Electronics and Pulse Techniques by tutoring and discussing quiz and assignment problems.

• Evaluated students by checking their assignments and worked as an assistant to the lab instructors.

• Designed different strategies with supervising faculties to im- prove student engagement in learning.

RESEARCH

• Developed a research titled "Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI”.

• Accepted in the 2022 International Conference on Innova- tion and Intelligence for Informatics, Computing, and Tech- nologies (3ICT) and and presented in the conference and pub- lished in IEEE Xplore.The IEEE Xplore link of the paper is https:

//ieeexplore.ieee.org/document/9990755 and the DOI is 10.1109/3ICT56508.2022.9990755

• Collected the dataset of the diseased images of the research work and also contributed in the writing of the paper.

• Applied data augmentation technique to increase the images of the research work as the three diseases are very rare and sufficient data were not available.

• Implemented different deep learning algorithm like VGG16, RestNet50V2,InceptionV3,InceptionRestNetV2 to check which algorithm provides the highest accuracy in predicting the over- lapping symptoms of the diseases of the research work.

• Analyzed the prediction of the deep learning algorithm with the help of a LIME-based explainable AI technique.

• Developed a web application through which three diseases of the work can be differentiated clearly if any of these diseased images can be uploaded to the web application.

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