Ruslan Zaharov

I have a number of mobile applications I've developed for commercial purposes. Across all accounts I've published 40 applications, some of which have been sold.

This Alexa skill helps people schedule their time before leaving home. It remembers the bus stop you use and gives you updates every time you say, "Alexa ask bus stop for update."

Can be added on Amazon: https://www.amazon.co.uk/ruX-lab-London-bus-stops/dp/B01N4DKTNY

This service allows people to get together and find new friends in lonely megalopolises. It connects like-minded individuals based on common interests and, most importantly, proximity enabling immediate connections in the real world. The service allows institutions to build more connections between members of their communities.

Service is built using Kotlin with Android, Node.js, Angular, and RPC.

People seeking a job in the UK have the same problem; companies aren't ready to go through the process of hiring foreign employees since it implies cost and paperwork. On the other hand, some companies already have experience hiring foreigners, and that means most likely they'll be able to sponsor a job.

The Visa Sponsors search engine is a service that makes the automatic discovery of jobs posted by companies who most likely can afford to hire a non-EU person for work easy.

It resolves company information such as the address from open data sources using only the name of the company provided by the government, using search engine APIs to find the company website, a machine learning-trained model classifies what pages are being looked at, which uses job posting and fetch content from there.

It was build using Spring Boot, Kotlin, and Groovy for the web service and data scraper, and TensorFlow for text classification

This is my second talk about writing safe code in Kotlin (the first one took place at the London Kotlin Meetup #2 and was organized by the Spb Google Developers Group. I demonstrated new safety features of the Kotlin language, which weren't available previously in Java.

Loocker allows fashion people to find out what fits better right from their mobile phone while he/she is in the fitting room of a clothes shop. The user uploads a few looks and selfies and gets an instant opinion from the social network VK page. As part of the service, it is possible to tag clothes with a link to the brand, which is a very important function in helping to market the brands.

Due to some of the limitations of theAPI, we had to simulate the user's actions in the virtual instance of the browser. As CTO, I managed a team of three engineers and participated in all aspects of development using WebSockets, REST, Android, VK API, Groovy, Node.js, and Linux tools.

eZWay is an automobile club for people who think about driver safety, environmental impact, and care about the money spent on fuel. eZWay allows one to collect information for any vehicle to a mobile phone for further analysis and provides actionable data. Using internal analytics allowing car drivers to save money on fuel, make roads safer, prevent potential error, and reduce the cost of diagnostics at MOTs.

A Kotlin/Spring Boot code test showing my code style, testing approach, as well as application design.
The project demonstrates a good design approach for test-ability and scalability while performing operations for the wealth management system. README file in the project provides more information about the project.