Khandaker Abrar Nadib

Dhaka, Bangladesh ยท abrar.nadib@gmail.com

I'm a Full Stack Software Engineer at Optimizely with three years of experience. I graduated from Bangladesh University of Engineering and Technology (BUET) with a BSc in Computer Science and Engineering.

My research interest is at the intersection of Human-Computer Interaction (HCI), Applied Data Science, Visualization as well as Privacy and Security. Specifically, I am interested in conducting research focusing on understanding and improving user experiences in digital environments. Please visit my Google Scholar profile to see my publications.

As part of my undergrad thesis, I worked with Dr. Sadia Sharmin, Associate Professor, CSE, BUET, in the field of Social Computing, HCI, and Applied Machine Learning. We devised an interaction based method for analyzing news credibility on Facebook.

Complementing my scholarly pursuits, I am passionate about traveling, films, competitive FPS gaming, and arts. I embrace diverse cultures and foster a nuanced worldview.

Publications

Interaction Based Credibility Analysis of News on Facebook Using Machine
Learning Methodologies

Collaborators: Sadia Sharmin, Sudipa Saha, Tasin Hoque

Fake news and its dissemination are growing more popular as social media becomes more pervasive in our daily lives and Facebook users are particularly vulnerable. Numerous studies on detecting fake news have already been published. However, a study focusing on fake news in low resource languages like Bengali propagated through Facebook is rare due to data extraction challenges. In this paper, we work with fake news in the Bengali language and used various supervised machine learning algorithms to classify Facebook posts as fake, real, or satire and found XGBoost to generate the best outputs. Instead of the content, we trained our model with the interaction data of the posts to make it resilient against adversarial attacks. We observed that ensemble methods perform well with such social media metrics.

Conference: 16TH INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS (SITIS-2022)

2022

Research Experience

News Credibility Analysis on Facebook using User Interaction Data

Collaborators: Sadia Sharmin, Sudipa Saha, Tasin Hoque

Amid the COVID-19 outbreak, we initially focused on detecting fake health-related news on Bengali-language Facebook content. Recognizing information disparities, we transitioned from a content-based approach to a language-independent, computationally efficient interaction metric based method. The scope was further expanded beyond health related news to general news. We employed Machine Learning methodologies to classify public Facebook posts based on authenticity. The proposed method outperformed existing content-based and NLP-based solutions. Furthermore, our research demonstrated that user reactions or interactions with the system vary significantly based on the content of news articles, offering a useful way to gain valuable insights.

Tech: scikit-learn, pandas, matplotlib.
Method: Predictive Modeling Study; Analysis: Exploratory Data Analysis, Machine Learning.
Current State: Accepted (SITIS-2022)
2021-2022

Heuristic Analysis of BKash

Collaborators: Sudipa Saha, Ishrat Jahan Eliza

We conducted a heuristic analysis of a mobile financial application called bKash. I interviewed several users to identify and analyze various issues that are present within the platform. Identified some key problems with the primary functions of the app and ranked their severity via a heuristic analysis. Provided suitable approaches to resolve these issues and presented recommendations on how to enhance accessibility and multimodality.

Method: Semi-structured Interviews; Analysis: Heuristic Analysis, User Analysis, Task Analysis.
Current State: Detailed report can be found here.
2021

Education

Bangladesh University of Engineering and Technology (BUET)

Bachelor of Science
Computer Science and Engineering

GPA: 3.50/4.00

Last Two Semesters: 3.82/4.00

Major GPA: 3.68/4.00

February 2017 - May 2022

Govt. Rajendra College, Faridpur

HIGHER SECONDARY CERTIFICATE

GPA: 5.00/5.00

2016

Work Experience

Software Engineer II

Optimizely

Digital Asset Management Team

Technologies: Python, Flask, JavaScript, TypeScript, React.js, MySQL, MongoDB, Alembic, Celery, Elasticsearch

January 2024 - Present

Software Engineer I

Optimizely

Digital Asset Management Team

  • Implemented Brand Template features including Download, Export, access, and Task integration.
  • Implementing Searching, Filtering, and Navigation in DAM collection folders.
  • Implemented various user activity tracking for analytics.
  • Implemented various asset features like meta information, relations, bulk operation improvements, and GPT-3.5-turbo model integration to generate smart content.
  • Handled user roles and privileges for various features.
  • Made improvements to several backend and UI components in terms of performance, and code quality.

Technologies: Python, Flask, JavaScript, TypeScript, React.js, MySQL, MongoDB, Alembic, Celery, Elasticsearch

November 2022 - December 2023

Software Engineering Intern

Optimizely

Asset Renditions Team

  • Worked on implementing and maintaining a feature Asset Rendition.
  • Built three services to generate asset renditions using the given specifications.
  • Implemented stateless generators to scale horizontally and integrated asynchronous messaging for decoupling and scaling.
  • Integrated the Rendition Service with the local development environment for developers.
  • Implemented logging schemes to enable debugging by combining multiple services.

Technologies: Python, FastAPI, MySQL, PostgreSQL, Docker, Kubernetes, Message Queue

May 2022 - October 2022

Skills

Research Methods
  • Data Scraping
  • Surveying
  • Interviewing
Programming Languages
  • JavaScript
  • Python
  • Java
  • C/C++
  • SQL
Tools
  • Git
  • Docker
  • Jupyter Notebook
  • Postman
  • Wireshark
Database
  • MySQL
  • Oracle
  • MongoDB
  • PostgreSQL
Frameworks
  • Flask
  • React.js
  • Node.JS
  • Typescript
  • FastAPI
  • BootStrap
Libraries
  • Pandas
  • NumPy
  • Matplotlib
  • Scikit-learn
Scripting/Markup/Serialization
  • Bash
  • TCL
  • LateX
  • YAML
  • JSON

Awards

  • Optimizely SPOT Award- October 2023

    Awarded in recognition of excellent performance and contributions.

  • Optimizely SPOT Award- July 2023

    Awarded in recognition of resolving challenging problems and performance.

Resume

Click here to view/download my complete CV.