Driven by Results: Azati’s Portfolio

Azati significantly accelerated the client’s DNA sequence processing software by identifying and optimizing a critical bottleneck in the FASTAptamer toolkit. The team rewrote the core clusterization logic from Perl to C++, achieving an 80x reduction in total execution time and a 1,000x improvement for the embedded Levenshtein algorithm.

Azati developed a mobile and web application for an interior design agency that allows users to instantly change room wallpapers on photos taken with their smartphones. The application leverages AI and computer vision to perform semantic segmentation and realistic visualization of wallpaper replacements.

Optimization of the client’s general ledger extract process, which works with large datasets from different sources.

Improving performance of a system that is designed to compile best offerings for advertisers to broadcast their commercials. Tackling the problem of missing data through applying a data approximation technique.

Azati assisted an international software integrator in eliminating legacy code, rebuilding a complex healthcare web portal, and resolving mission-critical bugs. The portal is used by healthcare facilities to streamline operations, improve efficiency, and provide timely support to patients. The solution involved migrating the portal from outdated PHP 4 to modern technologies, integrating advanced features, and improving overall usability, including accessibility for visually impaired users.

Azati audited and optimized an application for an international staffing agency. Critical issues were identified and resolved, resulting in enhanced performance, new features, and an improved user experience. These changes led to faster loading times and increased application stability, successfully stopping the decline in the user base.

Improving the skill matching algorithm for MyAmichi's recruiting platform to consider similar and related skills, addressing issues with strict matching and the lack of connection between skills.