Askhat Omarov

A web application that aims mastering of reading skills by children through a series of online video conferencing lessons.

I took part in implementing user settings modules and internal tools and stabilizing video delivery. Additionally, I've implemented "summer sale" campaign instruments which attracted 200 new customers, resulting in a 20% increase in customer base.

The goal of the project is to provide a universal tool for analyzing tree-structured data with similar patterns. It includes efficient importing and parsing modules that help to present data in an understandable manner so that it is easier to discover what data is, and what properties and attributes are present. Furthermore, the tool provides the capability to test various hypotheses about the data, perform searches based on diverse criteria, and export data to desired formats.

This project aggregates the functionality of news feed apps like Reddit and author rewarding system. It provides opportunity to post content of different formats, including embedded media.

As a full-stack developer, I implemented back-end functionality and created corresponding UI elements. Also, I built a more robust thumbnail extraction module and extracted this functionality to the background, speeding up page loading.

Altel is the first 4G provider in Kazakhstan, so creating a corporate website was a major career milestone for me in terms of communicating with corporate management.

The project is powered by Bitrix Framework using the PHP programming language.

A portal for an electronic library.

The project leveraged several key technologies, including the Django framework for managing HTTP requests and user interface representation. Redis was used to store frequently accessed data, while Arta Synergy was the data storage solution.

Textii is a lead capture and interactive messaging app that allows users to consume lead posts from third-party websites and subsequently send templatized emails and SMS messages to their submitted leads.

I set up a comprehensive testing environment, achieving a test coverage rate of 90%. Additionally, I conducted code refactoring to enhance the reusability and modularity of the code's components.

Almaboard is the system for maintaining board meetings, including creating agenda, arranging presenters and themes, the actual meeting process in real-time, the voting process, and building the overall summary. The main customers of this product are banks, national companies, and other joint-stock structures.

The project uses the following technologies: Docker for virtualization, Tornado as the back-end server, and Electron.js for the desktop application.

I designed and developed a CRM system that helps organize sales department workflow. This system is built around the OKR methodology to increase manager performance and reduce sales cycle costs.

It was implemented using the Django framework for the back end, while the front end was developed using React. Also, I translated the business goals, feature concepts, and customer needs into prioritized product requirements and use cases.

This project provides a platform where schools and teachers can offer different classes and camps. On the other hand, parents or individual students can find appropriate courses for their children or themselves.

The back end was built on top of a Scala stack with the Play Framework as a major component. The front end uses React to construct a highly responsive interface.

This desktop app is written in Python; it uses its bindings for Qt to utilize the currency exchange APIs to implement unique trading strategies. The app uses multiple threads to provide asynchrony while working with APIs, making HTTP requests, and reflecting on response data. As a multi-threaded application, it ensures no UI locks and corresponds to several thread states.

This project is more scientific rather than commercial. My role was dedicated to researching and developing the practical portion of this project. The project lasted for three years and went through several stages, with various tools and methodologies employed according to the specific objectives of each stage.

The core technologies that were used were the Event-B modeling language, Z notation, as well as Python and JavaScript programming languages.