UX design of the sales funnel is crucial for optimizing the conversion rate in e-commerce and advertising the product.

Full-stack website development and iOS/Android application maintenance of one of the world's most popular meditation apps.

In the Magento ecosystem, plugins are called extensions. An additional feature that was developed allows to collect all user events.

My task was to design a new version of the mobile application for iOS. I had a lot of freedom in creating an application, and the main indication was the Apple guidelines for interface and navigation in designing applications for smartphones. The designed prototype was created for an iPhone 7.

Project around the smart collection and processing solutions for e-waste.
My focus was dedicated to the classification process using tangible interfaces: Design, creation, and testing of tangible and graphical interfaces in the context of the InnoWEEE project.

1. The project goal, creating a vision
2. Interview planning, conducted and coded
3. Creating mock-ups
4. Creating a low-fidelity prototype
5. Conducting workshop
6. Creating a high-fidelity prototype
7. Usability testing of high-fidelity prototype
8. Learnings and conclusions

I decided to follow the below structure to fully understand the business goals of the app as also to analyze the customer perspective.
1. App goals and features
2. User needs and problems
3. Benchmarking of the existing apps
4. Presentation and evaluation of the existing features
5. Proposed solutions with elaboration in terms of micro-interaction (redesign)
6. Additional observations
7. The summary and learnings

Development from scratch the site for HBO GO for Asia. I designed the architecture for FE client side over JavaScript and developed all FE. I have created our SPA base on jQuery. Tech lead: been in charge to lead the FE project and communicate with other teams (mobile, backend) to coordinate what was the next step to take.

This is a SaaS website in which I have designed the User interface and user experience.

I built a platform on Sharetribe GO (OpenSource version).

Automated facial recognition system trained with students' faces which are subsequently used for verifying attendance in real-time.

Automated attendance system developed in Python which verifies faces in real-time. Updates attendance records stored in a relational database-Provides fully functional user registration software trained on user's facial features. Utilized for a research paper concerned with verifying the success rate of the fusion of PCA and LDA algorithms. Achieves 98% accuracy in recognizing faces.

The system allowing registered users to book activities with others registered users resulting in efficiently organizing and managing their work.

I build a Full-stack of a football betting with friends app on iOS and Android — Firebase backend and Slackbot integration.

End-to-end full-stack build of the UK version of a football match booking platform, on iOS and Andriod  - Firebase backend.

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