Alexander Zinchuk
Verified Expert in Engineering
Cordova Developer
With more than 15 years of experience in JavaScript, 亚历山大对语言的内部运作有着深刻的认识. He's also worked for multiple years for Yandex, one of the largest IT companies in Europe, leading a development team. Alexander擅长构建容错系统,并且在软件设计模式方面也有很多专业知识, algorithms, development methods, refactoring, and testing software.
Portfolio
Experience
Availability
Preferred Environment
GitHub, RubyMine, WebStorm, MacOS
The most amazing...
...我创建的项目是一个在线多人移动项目Mozg,它具有同时连接数千个移动玩家的能力.
Work Experience
Full-stack Software Engineer
FlightVector (via Toptal)
- 使用响应式方法为航班运营创建了一套跨平台移动应用, data-binding, Google Maps API, ES6+, Webpack, and AWS for push notifications services.
- 使用Node开发了一个干净的独立于数据库的RESTful API.js, Koa, ES6+ (including async/await), and unit testing.
- 建立一个仪表板,允许客户向他们的应用程序用户大量发送移动通知.
Founder | Head Developer
Anyway Labs
- 开发iOS和Android在线多人游戏《欧博体育app下载》的前端和后端.
- Developed MonsterMind: a logic puzzle game for iOS.
- Created Sibur: a New Year party helper mobile app.
- Built the mobile app for a real-life escape room.
REST API and React Dashboard Developer
DOC (via Toptal)
- 在Ruby on Rails和PostgreSQL中创建并实现了全面的REST API架构,该架构由单元测试和交互式文档完全覆盖.
- 基于Material Design模型开发了一个全功能的React/Redux单页仪表板应用程序.
- 使用Bitbucket Pipelines为两个项目设置持续集成和云托管, Heroku, and Amazon S3.
- 集成在线支付(使用TAP网关)和onessignal推送通知.
Head of Yandex Maps API Visual Components Group
Yandex
- 开发与Yandex Maps API相关的新产品的架构.
- 管理现有服务和组件作为开源项目的重构和发布.
- Took part in planning roadmaps and service strategy.
- Interviewed potential hires and built out the team.
- 创建了一个提供嵌入式OAuth认证的服务,并与Yandex服务集成.
UI Software Engineer
Yandex
- 从事界面工程和世界上最大的网络地图服务和第二大API之一的开发工作.
- 参与创建异步模块系统(bundler, loader, web server).
- 开发共享实体管理系统(共享和捕获接口).
- 与团队一起构建了一个事件处理系统(热点系统,触摸和多点触摸事件).
- 实现了视觉过渡效果(拖动惯性和逐步动画).
Full-stack Web Developer
StartupPoint
- 创建了一个基于社交网络的网络项目,将创业公司的个人资料与投资者账户联系起来.
Web Developer
Freelance Work
- 参与了大约十个不同网络项目的开发.
Experience
Hybrid Mobile Apps and a Node.js REST API
http://anywaylabs.com/showcase/flightvector/index.htmlFlightCall应用程序是为EMS客户和医院设计的,提供了一种快速简便的方式来请求紧急服务, 具有交互式地图集成和收集有关事件和医院方向的有用信息.
There is an even more sophisticated crew app. This app allows crew members to track their duties, receive and manage EMS requests, view and report flight plans, and manage their vehicle status.
The apps are built with Cordova. The REST API uses modern approaches such as a Koa.js framework along with ES6+ (i.e., async/await) features and unit testing.
React Native Unium Mobile App
http://anywaylabs.com/showcase/unium/index.htmlThe app helps students keep track of their schedule, progress and academic performance in a convenient way.
该应用程序使用React Native和MobX技术为iOS和Android制作.
LovelyChart Library
http://ajaxy.github.io/lovely-chart/It is also mobile-friendly, high performant, extra lightweight, has zero-dependency, is production-ready, and is open-sourced.
React and Redux Dashboard for MoonMail
Mozg
客户端架构基于JavaScript/HTML5和Cordova技术.
分布式后端架构是使用Node构建的.js, Redis, Socket.IO, Ruby on Rails, and PostgreSQL.
这款应用有很多第三方服务和api集成,比如Facebook/VK的OAuth.com/OK.ru, AWS SNS and S3, Yandex.Metrica用于分析,Google AdMob/Appodeal用于盈利,等等.
mo | Framework for Hybrid Mobile Apps
http://github.com/anywaylabs/moYandex.Maps JavaScript API
http://tech.yandex.com/maps/jsapi/"Check Online" Module from Mozg Project
Skills
Languages
ECMAScript (ES6), JavaScript, HTML, Bash, SQL, CSS, Ruby, Swift, Python, PHP
Frameworks
Express.js, PhoneGap, Ruby on Rails (RoR), .NET, Ionic, Redux, React Native, Angular
Libraries/APIs
REST APIs, Node.js, Yandex Maps API, React, VKontakte API, jQuery, TensorFlow, Socket.IO, Facebook API, JSON API
Paradigms
Behavior-driven Development (BDD), Object-oriented Programming (OOP), Agile, Agile Software Development, Unit Testing, Functional Programming
Other
Cordova, WebSockets,深度学习,神经网络,机器学习,OAuth
Tools
GitHub, Git, RubyMine, WebStorm, Webpack, NGINX, onessignal
Platforms
Linux, New Relic, Amazon Web Services (AWS), MacOS, Heroku
Storage
PostgreSQL, MySQL, Redis, MongoDB
Education
Master's Degree in Computer Engineering
Moscow Aviation Institute - Moscow, Russia
Certifications
Neural Networks and Deep Learning
Coursera
Machine Learning
Coursera
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