Experience

table.ai

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer

  • Apr 2021 - Present

  Project: AI-powered analytics platform for E-commerce industry Role: Core platform Software Engineer Helping the company to find product-market fit. 1. Built infrastructure to pull orders/purchases customers' data from Amazon SP API. 2. Improved performance of code tests. Testing runtime reduced from ~150 seconds to ~25 seconds per run. Increased code coverage with additional tests. 3. Refactored codebase of the core product to make it more modular, scalable and easier to work with. 4. Introduced better code quality standards on the project that the Engineering team has started to follow. 5. Introduced API backend time-to-response performance improvements. As a result for some requests the metric was increased up to 25X. Languages: Python, Javascript Frameworks: Flask, React.js Technologies: Google Cloud, Docker, Postgres, BigQuery, Redis



proSapient

• United Kingdom
• Information Services
• 200 - 300 Employee

• Software Engineer

  • Mar 2020 - Apr 2021

  Project: Crowdsource marketplace Role: Software Engineer/Solutions Architect Implemented backend to allow the company to polish high volumes of automated speech-to-text processing results into grammatically correct text using people and crowdsourcing model to distribute work. Languages: Python Frameworks: Django Technologies: GraphQL, AWS, Kubernetes, Postgres, Redis Project: Crowdsource marketplace Role: Software Engineer/Solutions Architect Implemented backend to allow the company to polish high volumes of automated speech-to-text processing results into grammatically correct text using people and crowdsourcing model to distribute work. Languages: Python Frameworks: Django Technologies: GraphQL, AWS, Kubernetes, Postgres, Redis



DataRobot

• United States
• Software Development
• 700 & Above Employee

• Software Engineer

  • Mar 2017 - Mar 2020

  Project: Business Engineering Role: Software Engineer/Solutions Architect Scaled different parts of the company using the power of Python, algorithms and Machine Learning. * Designigned services architecture. * Built REST APIs. * Built ETL pipelines. * Built numerous business processes automation. * Increased test code coverage. * Reviewed other Engineer's code. * Interviewed other Software Engineers. Languages: Python, JavaScript Frameworks: Flask, React.js Storage: PostgreSQL, DynamoDB, MongoDB Machine Learning Tools: DataRobot, Prodigy Technologies: AWS Cloud Stack (Lambda, S3, SQS, EC2, etc.) Day 1. Identified the problem with the slow process of adding tracking codes on the corporate website. Sold a solution to the team. Implemented the solution. It is still being used nowadays. 1. Implemented account mapping solution having 85% accuracy and outperformed the solution from the company which is 5 years in the business already. Also, it allowed to process 10x volume of leads without significant team expanses. 2. Scaled and accelerated business process which reduces time-to-follow up with event prospect leads from 5 days to 1 day and a half. 3. Implemented incoming leads scoring ML project which allowed marketing team to be focused on leads with the highest value for the business. 4. Introduced the potential power of AWS Lambda Functions for the company. 30 days later we went from 0 to 1000 unique function calls at the moment and hit the AWS account limit.



Avicoma

• United States
• Software Development
• 1 - 100 Employee

• Software Engineer

  • Feb 2017 - Mar 2017

  Project: Advertising platform Role: Software Engineer * Implemented new features/performance improvements/bug fixes for In-house app which simplifies online events management. Languages: JavaScript Libraries/APIs: Node.js, Oracle Eloqua API Frameworks: Sails.js, Express Storage: MongoDB, Redis Technologies: Git, Linux Project: Advertising platform Role: Software Engineer * Implemented new features/performance improvements/bug fixes for In-house app which simplifies online events management. Languages: JavaScript Libraries/APIs: Node.js, Oracle Eloqua API Frameworks: Sails.js, Express Storage: MongoDB, Redis Technologies: Git, Linux



PrivatBank

• Ukraine
• Banking
• 700 & Above Employee

• Head of Internet Marketing

  • Sep 2013 - Nov 2016

  1. Was responsible for sales in digital channel ($100k/weekly advertising budget) in 4 different countries: 1.1. Managed portfolio of CPC\CPA\CPS\Media advertising campaigns. 1.2. Managed landing pages development activities. 1.3. Launched hundreds of A/B tests to increase advertising performance. 1.4. Created technical specifications for developer`s team. 1.5. Managed Digital Marketing team(3-5 people) to maximise sales of bank`s products.2. Built from scratch the business application which controls digital marketing campaigns using: 2.1. PHP/MySQL/RabbitMQ. 2.2. Google AdWords API. 2.3. Google OAuth 2.0. 2.4. Google Analytics API. 2.5. Yandex Direct API.

• Team Lead\Digital Marketer

  • Nov 2012 - Sep 2013

  1. Managed Digital Marketing team to maximise sales of bank`s products.2. Created the process of ongoing growing landing pages conversion rates.3. Managed portfolio of CPC\CPA\CPS\Media advertising campaigns in Ukraine and Russian Federation.

• Digital Marketer

  • May 2012 - Nov 2012

  I was focused on:1. Managing portfolio of AdWords PPC campaigns.2. Ongoing testing various traffic sources (including CPA, social media PPC, banner networks, etc...).3. Budget planning and allocation between the most convertible traffic sources.4. A/B testing for bank`s products sales pages -> tweek those pages to achieve higher conversion rates.5. Designing mockups of new sales pages/e-mails/banners.6. Writing technical specifications for developer`s team.7. Looking for new strategies to sell bank`s products inside CRM.



IDE Group

• Australia
• Medical Equipment Manufacturing
• 1 - 100 Employee

• Affiliate\PPC Manager

  • Oct 2011 - Apr 2012

  Worked on Trud.com and LoveScanner.com (over $250k monthly advertising budget for master project). I was focused on: 1. Traffic buying. CPA, CPC, CPM models. 2. Keyword research -> build AdWords campaigns -> ROI-oriented management. 3. Buying traffic via affiliate networks -> live campaigns management -> fraud leads analysis -> communication with active affiliates -> searching for new traffic sources. 4. Product creation. Active collaboration with developers, designers and copywriters teams.



Dorman Trading LLC

• United States
• Financial Services
• 1 - 100 Employee

• Introducing Broker

  • Sep 2008 - Aug 2011

  Attracted new customers for trading on USA futures markets. No advertising budget. Direct phone calls and SEO as lead generation channels. I was focused on: 1. New customers acquisition. 2. Cold calling. 3. Support of existing customers. 4. Consulting on futures markets trading. Attracted new customers for trading on USA futures markets. No advertising budget. Direct phone calls and SEO as lead generation channels. I was focused on: 1. New customers acquisition. 2. Cold calling. 3. Support of existing customers. 4. Consulting on futures markets trading.



Pension Fund of Ukraine

• Principal officer

  • Apr 2008 - Jun 2008

  Non-disclose agreement (NDA) Non-disclose agreement (NDA)