Ghufran Ali

Optimized the user interface and developed custom solutions which decreased support tickets by 40%. Expanded payment options by integrating PayPal and TossPay, resulting in a 100% increase in completed transactions.

Developed an in-house application leveraging React and Node, streamlining workflows for three teams resulting in an 85% operational efficiency gain and slashing manual tracking time by 80%. Engineered custom automation solutions by analyzing and debugging Google Chrome extensions, integrating Selenium to enhance browser interaction capabilities, which increased automation efficiency by 60% and red

Designed innovative user-centric solutions that simplified complex workflows, developing intuitive features that increased user adoption by 55% and shrunk learning curve friction by 40%. Implemented advanced Virtualization techniques that can load million records at once without crashing and enabling 100% view of data without any delay.

Designed and optimized portfolio websites by adeptly managing assets and achieved a 95% score in GTmetrix. Proposed robust CI/CD pipeline using GitHub Actions and AWS infrastructure (EC2 and S3), reducing deployment errors by 95% and streamlining automated release processes for improved team efficiency.

Published multiple custom packages on GitHub by converting each component into a library, resulting in a significant reduction of up to 40% in the codebase of the application. Established and enforced coding standards through the implementation of GitHub Hooks, leading to a 65% reduction in code inconsistencies and an improved overall code quality within the development workflow.

Conducted a research project focused on eating activity recognition using wearable sensors. Utilized various machine learning models including HandCrafted Features, MLP, CNN, LSTM, Autoencoder, BiLSTM, and CNNLSTM for training purposes.

Studied relevant courses including Object-Oriented Programming, Data Structures and Algorithms, Web Development, and Software Engineering. Gained expertise in Database Administration, Computer Networking, Mobile Computing, and Machine Learning.