Publication
Choosing a Tech Stack Alternative - The Ups and Downs
https://www.toptal.com/developers/ruby/choosing-a-tech-stack
Viktar is currently unavailable
Viktar Basharymau
Verified Expert in Engineering
Software Developer
Warsaw, Poland
Toptal member since November 26, 2015
Bio
Viktar is a seasoned developer with strong analytical skills and deep knowledge of different fields of computer science. He has production experience in Ruby, JavaScript, C#, and Java, is adept at FP, and is always eager to learn new things. He is an active open source contributor.
Portfolio
The Hamon
Redis, MySQL, PostgreSQL, CoffeeScript, Elasticsearch, Node.js...
Epam Systems
MongoDB, Microsoft SQL Server, MSMQ, Amazon EC2, C#, Java, Hadoop
Epam Systems
Task Parallel Library (TPL), ETL, C#
Experience
- Data Structures - 8 years
- Algorithms - 8 years
- Functional Programming - 6 years
- Ruby - 5 years
- Ruby on Rails (RoR) - 3 years
- Ruby Performance - 3 years
- JavaScript - 3 years
- Behavior-driven Development (BDD) - 3 years
Work Experience
Lead Ruby Engineer
2012 - 2015
The Hamon
- Supported a big old Rails application, constantly improving the code (performance-wise and maintainability-wise) and adding new features. Successfully migrated the app from Rails 2 to Rails 3, and then to Rails 4.
- Maintained a smaller Rails app for sending email and SMS notifications. This app was used by the main, big app I mentioned earlier.
- Created a Node.js REST back-end for one of our data sources. We used Elasticsearch to store the data.
- Built a microservice for PDF generation using Sinatra and Sidekiq.
- Created a websocket service in order to handle open connections between browsers and our backend. Some of our pages change frequently, so we use websockets messages to push notifications to clients. At the back-end, Redis was used.
- Created a tool to load-test most critical pieces of our software.
- Built deployment scripts for our apps in Capistrano 3.
Technologies: Redis, MySQL, PostgreSQL, CoffeeScript, Elasticsearch, Node.js, Ruby on Rails (RoR), Ruby
.NET Key Developer, Java Key Developer
2010 - 2012
Epam Systems
- Took part in development of .NET-based event processing system (kind of like Google Alerts). The system consisted of a number of microservices communicating between each other via message queues.
- Implemented a number of quite complex stored procedures on SQL Server side in order to avoid unnecessary round-trips from the app to database and to create a layer of abstraction between DB schema and the application.
- Built a data loader for the see-results-as-you-type feature. The data loader processed a big pile of gzipped XML using Amazon-based Apache Hadoop cluster, enriched it with data from another data source and built an inverted index in MongoDB.
- Created a test framework in Ruby and Cucumber to ensure that our REST services work correctly. Our QA team used this framework to build automated tests.
Technologies: MongoDB, Microsoft SQL Server, MSMQ, Amazon EC2, C#, Java, Hadoop
.NET Key Developer
2010 - 2010
Epam Systems
- Created an ETL framework using C# as a replacement for another proprietary framework as lead developer of a small team.
- Implemented an ETL tool based on the framework I developed and compared it with the previously-written tool. There was a significant performance boost and noticeable improvements in maintainability.
- Created a tool to automatically compare output datasets of the app and the newly created app.
Technologies: Task Parallel Library (TPL), ETL, C#
MS SQL Developer, Java Developer, FAST CCR Developer
2007 - 2010
Epam Systems
- Took part in the creation of a big ETL system written with use of FAST CCR framework in a team of about 20 people. FAST CCR is a proprietary framework written in Java.
- Optimized performance and created multiple queries and stored procedures for SQL Server.
- Created a testing framework to test the accuracy of output of our tool, prevent regressions, and measure performance.
- Replaced parts of FAST CCR that were performance bottlenecks with custom components which I implemented in Java.
- Developed a number of Ruby scripts to automate routine developer tasks specific to the project.
Technologies: Ruby, Microsoft SQL Server, Wix, FAST ESP, Java
.NET Developer
2007 - 2007
Epam Systems
- Contributed to the creation of back-ends for a set of financial applications as part of a team of ~20 members. My responsibilities included bug fixing and implementation of new features using C# and ASP.NET.
Technologies: JavaScript, Microsoft SQL Server, C#, Web Services, ASP.NET
Project History
WhatTheNat Algorithm
An extended version of binary search written in Haskell, which I call whatTheNat. When given an "f" oracle—i.e., a monotonic function from natural numbers to bool—this algorithm returns the max value for which "f of x" is true.
Why is this useful? If, for example, a user wants to know how many articles are on a website. The site alone does not expose this information but allows us to query pages, e.g., example.com/page/123. If a page has articles, it responds with a 200 error; otherwise, it returns a 404. In other words, we can build an oracle function f, such that: fx=true if "http://example.com/page/" yields 200, and false otherwise. Then, by feeding the function into whatTheNat, we get the number of pages and can quickly obtain the number of articles from this information.
The algorithm involves two stages. In the first stage, it goes right at the exponential scale (1, 2, 4, 8, ... 2^N) until the oracle returns false. Then, it shrinks the rage 1..2^N using binary search into a single value.
Why is this useful? If, for example, a user wants to know how many articles are on a website. The site alone does not expose this information but allows us to query pages, e.g., example.com/page/123. If a page has articles, it responds with a 200 error; otherwise, it returns a 404. In other words, we can build an oracle function f, such that: fx=true if "http://example.com/page/" yields 200, and false otherwise. Then, by feeding the function into whatTheNat, we get the number of pages and can quickly obtain the number of articles from this information.
The algorithm involves two stages. In the first stage, it goes right at the exponential scale (1, 2, 4, 8, ... 2^N) until the oracle returns false. Then, it shrinks the rage 1..2^N using binary search into a single value.
Education
2003 - 2008
Bachelor's Degree in Computer Science
Belarusian State University - Minsk, Belarus
Skills
Libraries/APIs
Delayed Job, jQuery, Nokogiri, Underscore.js, Task Parallel Library (TPL), Sidekiq, Backbone.js, Ruby on Rails API, Node.js, React, D3.js, Leaflet
Tools
Cucumber, RSpec, Git, Capistrano, RubyMine, Subversion (SVN), wkhtmltopdf, VCR, JBuilder, TortoiseSVN, Sublime Text, Vim Text Editor, Wix
Languages
CoffeeScript, Ruby, Domain-specific Languages (DSLs), JavaScript, SQL, Clojure, Haml, Haskell, Java, C#, Elixir
Frameworks
JSON Web Tokens (JWT), Sinatra, Capybara, Ruby on Rails (RoR), Flux, Factory Girl, ASP.NET, Hadoop
Paradigms
Functional Programming, Test-driven Development (TDD), Metaprogramming, CQRS, Behavior-driven Development (BDD), Continuous Integration (CI), REST, Pair Programming, ETL, Continuous Delivery (CD), Microservices
Platforms
Heroku, Linux, Ubuntu, MacOS, FAST ESP, Docker, DigitalOcean, Amazon EC2
Storage
Elasticsearch, Redis, Microsoft SQL Server, MySQL, PostgreSQL, MongoDB
Other
Data Structures, Algorithms, Open Source, Legacy Code, Domain-driven Design (DDD), Ruby Performance, HTTP, Scraping, Web Scraping, WebSockets, Web Services, MSMQ, Servant, Computer Science, Mathematics
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