Fora Soft LLC.

Fora Soft specializes in the creation of products for e-learning, telemedicine,and video surveillance sectors, with a focus on augmenting reality, Internet TV launch, and video object recognition. My role involved developing andmaintaining client server and video chat applications Android applications, inaddition to identifying and rectifying errors to enhance overall functionality. • Decreased crash rate of a launched app from 96% to 3% • Implemented Clean Architecture and Dependency Injection as companystandards to improve the scalability and maintainability of our applications, thereby minimizing errors.

Willow

Developed a comprehensive mobile application that integrates smart buildingtechnologies for seamless access control and facility booking, significantlyenhancing user experience and workplace navigation. • Integrated with HID NFC door lock system for keyless room access. • Implemented a multi-module architecture in an Android application toenhance code readability, maintainability, and to enable efficient parallel development across teams. • Integrated NFC lock interaction without a physical device.

Wayd

Developed a module that sorts user photos into groups using on-device facialrecognition and EXIF data parsing. This module identifies friends and locationsin the photos by recognizing faces and parsing the metadata attached to thephotos. • Engineered a high-precision facial recognition and clustering algorithm,delivering an impressive accuracy rate of approximately 95%. • Achieved a substantial improvement in processing efficiency by reducing thetime for face recognition and clustering by a factor of 50. • Developed bridges Flutter → Swift, Objective-C → C++, as well as Flutter →Kotlin → C++, to leverage dlib and achieve the previous goal. • Devised a clustering solution to identify and match the same users acrossdifferent photos.