I'm Abdul Arif, a graduate of the University of Windsor, with a double major in Computer Science and Business Administration. In my current role as a Software Engineer at Dayforce (Ceridian), I am part of the Platform te…
I'm Abdul Arif, a graduate of the University of Windsor, with a double major in Computer Science and Business Administration. In my current role as a Software Engineer at Dayforce (Ceridian), I am part of the Platform team creating React components for the app and switching our code base from legacy Dojo code to React for optimal performance. And enhance our RichTextEditor performance for 5000+ global B2B customers. Currently focused on developing a custom AI solution for the RTE leveraging our in-house LLM, replacing the TinyMCE AI plugin by replicating its UI elements (dialog box, buttons, etc.) and functionalities using React, which will save Dayforce approximately $52K annually.
Previously as a Research Software Engineer at the University, I engineered a pivotal MATLAB machine vision algorithm for Krown, utilizing RGB to HSI color conversion and pixel thresholding for accurate vehicle rust corrosion detection and assessment. I decomposed this critical MATLAB algorithm into C++ and developed an iOS app with Swift, enabling rust assessments directly from iPhones and enhancing field evaluation efficiency. Additionally, I created a Python MATLAB-based application with an intuitive GUI for advanced corrosion detection, streamlining the assessment process for vehicle rust analysis.
As a Full Stack Developer at Haadi Solutions Inc., I lead the development of a React application for a US health clinic, designing and implementing a health intake form, integrating NodeMailer for multi-factor authentication, Azure for database management, and Twilio for SMS and voice communications.
During my Software Engineer internship at TD Bank, I rebuilt a Java automation engine used by over 50 data engineers. I successfully integrated Spring and Swagger with the Delphix Masking API, cutting the engine's runtime by 50%. Then with JUnit and Mockito, I increased the test coverage from 70% to 90%. Furthermore, I onboarded new Software Engineers, walking them through the Java code use
Engineered an AI writing assistant in React/TypeScript, integrating proprietary AI APIs and contextual UX features.
Built a solution used by over 5000+ companies, replacing TinyMCE’s paid AI add-on and saving Dayforce approximately $52K per year.
Transformed Figma designs into accessible, production-ready React components with custom skins, toggleable toolbars, and secure image paste handling.
Enhanced usability and met A11Y standards.
Resolved CI/CD pipeline errors and stabilized test coverage tools including Jest, Cypress, and SonarQube.
Boosted test coverage from 40% to 100%.
Reduced production bugs by 20%.
Engineered an AI writing assistant in React/TypeScript, Transformed Figma designs into production-ready React components, Resolved CI/CD pipeline errors and stabilized test coverage tools
Built a telehealth platform using React, Node.js, and Azure.
Enabled self-service features such as appointment booking and symptom tracking.
Reduced the time a doctor spends on each patient by approximately 15 minutes.
Used Express.js to integrate NodeMailer for email notifications.
Used Twilio API for MFA.
Built Google Calendar API appointment tracking UI.
Served 800+ patients.
Reduced missed appointments by 30%.
Built a telehealth platform using React, Node.js, and Azure, Used Express.js to integrate NodeMailer library for email notifications, Developed Twilio API for MFA, Google Calendar API appointment tracking UI
Engineered a MATLAB rust corrosion detection computer vision algorithm for a PhD research thesis.
Validated Krown’s rust protection products.
Used RGB to HSI color conversion and pixel thresholding for precise analysis.
Decomposed a legacy algorithm into C++.
Developed a Swift iOS app enabling technicians to take pictures of vehicle parts and run them through the rust detection algorithm.
Led to 40% more vehicles being evaluated.
Designed and implemented a rust analysis desktop app in Python.
Allowed batch analysis for 10k+ images.
Engineered a MATLAB rust corrosion detection computer vision algorithm, Decomposed legacy algorithm into C++ and developed a Swift iOS app, Designed and implemented a rust analysis desktop app in Python
Rebuilt an automated Java tool used by 50+ data engineers.
Enhanced data privacy operations by integrating Spring framework and Swagger with Delphix Masking API.
Reduced runtime by over 50%.
Created JUnit tests.
Used Spring for dependency injection of objects.
Boosted test coverage from 70% to 90%.
Engineered a Java SSL certificate verification bypass for secure HTTPS API calls.
Strengthened data security.
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