Anisha Islam

University of Alberta

GPA: 3.9 / 4.00

Relevant Coursework: Reinforcement Learning I, Software Analytics: ML and SE, Image Registration: Theory and Practice, Introduction to KDD & Data Mining.

Supervisor: Dr. Abram Hindle

Bangladesh University of Engineering and Technology

GPA: 3.81 / 4.00 (Graduated with Honors)

Relevant Coursework: Computer Graphics, Computer Security, Computer Architecture, Compiler, Operating System, Software Engineering, Data Structures and Algorithms, Object-Oriented Programming Language, etc.

Thesis: Cross-City Deep Transfer Learning Model for Crime Prediction

Supervisor: Dr. Tanzima Hashem

Graduate Research and Teaching Assistant

• Managed cross-functional Scrum teams to deliver software products to clients within set deadlines.
• Reviewed sprint submissions to ensure compliance with project documentation and acceptance criteria.
• Provided guidance and mentorship to team members by assisting with technical challenges, and facilitating conflict resolution between clients and teams.
• Conducted lab sessions on various topics, including test-driven development, CI/CD pipelines using GitHub Actions and Cybera, setting up self-hosted runners, code coverage, mocks, stubs, technical debt, and static analysis.
• Instructed on testing techniques such as unit testing and system testing with Pytest and mutation testing using Pitest.

Software Engineering Intern

• Created an engineering dashboard using JIRA, Grafana, Docker, and Python, with visualizations from the JIRA API and PostgreSQL.
• Collaborated with senior developers, participated in peer-reviews.
• Conducted research on alternate technology stacks, and documented the findings.

Paper Tracker: Your Personal Research Library

• Developed and deployed a full-stack research paper management app using Next.js, MongoDB, and Vercel, enabling users to add, search, and categorize academic papers (Live Demo).
• Implemented Google authentication and CRUD operations, allowing users to securely log in, manage paper details, and organize their research effectively.
• Designed an interactive search, filter, and dashboard system, helping users track their reading history by author, publication venue, and tags.

Movie App Development

• Built a React and Vite-based movie app that fetches data from the TMDB API, displaying movie details in a card format.
• Integrated Appwrite (BaaS) to store most-searched movies for displaying the trending movies and implemented debouncing for efficient API calls, improving performance.
• Deployed on Vercel at https://movie-app-react-peach.vercel.app/.

Analyzing the Traffic Crash Data of Chicago Using Clustering

• Analyzed Chicago traffic crash data for insights to enhance road safety.
• Applied different clustering algorithms like K-means, K-modes, OPTICS, and DBSCAN to analyze the time, location, and patterns of traffic accidents.
• Examined the spatial distribution of accidents by their types.

Personal Shopper Problem Web Prototype

• Developed a web prototype for the Personal Shopper Problem, enabling route selection between shopper and customer locations based on time and cost constraints.
• Integrated two algorithms into the prototype to compute both optimal and sub-optimal linear skyline routes.
• Implemented frontend-backend interaction, with item selection and location data processed in the Flask backend, and routes displayed using Leaflet Routing Machine.

Do Python Projects in Public Version Control Systems Follow Python Style Guidelines?

• Selected a subset of Python projects from the Global Software Supply Chain (GSSC) dataset (version U).
• Used Pylint to report the number and category of style violations in these projects.

Easy Internet Service

• Led a 3-person team to build a web platform facilitating connections between NTTN (Nationwide Telecommunication Transmission Network), ISP (Internet Service Provider), and end users.
• Scoped the project, designed the ERD, and contributed to the Class Diagram.
• Developed 90% of backend APIs (Node.js), set up and populated the MongoDB database, and built the frontend with React and CSS.

• Anisha Islam, and Abram Hindle. TriGraph: A Probabilistic Subgraph-Based Model for Visual Code Completion in Pure Data. Accepted in 2025 IEEE/ACM 22nd International Conference on Mining Software Repositories (MSR). IEEE, 2025.
• Anisha Islam, Kalvin Eng, and Abram Hindle. Opening the Valve on Pure-Data: Usage Patterns and Programming Practices of a Data-Flow Based Visual Programming Language. In 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp. 492-497. IEEE, 2024.
• Anisha Islam, Nipuni Tharushika Hewage, Abdul Ali Bangash, and Abram Hindle. Evolution of the Practice of Software Testing in Java Projects. In 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR), pp. 367-371. IEEE, 2023.

Treasurer

• Managed the budget of the club, collected funds for hosting events, maintained logs of transactions, submitted financial statements to advisory board members.
• Co-hosted events like programming contests, project showcasing competitions, and workshops for the female students of BUET.

Backend Developer

• Developed the APIs needed to search blood donors from BUET based on their last blood donation date, phone number, residential hall, address, blood group, and availability.
• Technology stack used: Node.js and MongoDB