Anton Vasetenkov
Anton Vasetenkov

Auckland, New Zealand

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Professional profile

An expert web developer.

I love all things data and web.


Looking to apply my skills in a suitably challenging role.

And pioneer the use of cutting edge front end and cloud technologies in product planning, design, and implementation.

Work experience

Pixel Fusion Ltd., Auckland

Front-End Engineer

Jan 2017–Present

A member of self-organising and cross-functional teams involved in discovering (designing) and developing web applications and other digital products and working within the Scrum and Kanban frameworks.

Focusing on React/Redux front ends, Node.js back ends, build pipelines, and cloud deployments.

Following software engineering best practices (maintainability, reusability, testability, scalability, etc.) with web security, performance, accessibility, and SEO in mind.

Designing and developing integrations with ticketing and other third-party services.

JavaScript, ESNext, Node.js, React, Redux, React Router, Webpack

Single-page apps, Server-side rendering

CI/CD, Docker, Jenkins, AWS, Test-driven development, Unit testing (Jest), Dependency injection, Atomic Design

SEO, Web accessibility, Google Analytics, Tag Manager, ecommerce

Scrum, Kanban, Dual-track agile, Design sprints, JIRA, BitBucket, Confluence

Squarespace, Shopify

Goodfolk Ltd., Auckland

Front-End Developer

Aug–Nov 2016

Whilst in this role, I implemented interactive UI components for the web.

Was involved in developing websites and responsive email templates for key clients.

jQuery, Bootstrap, SASS, Gulp/Grunt, Atomic design libraries, Angular.js, Client-side routing

Marketo marketing platform, Trello


Auckland University of Technology

Computer & Information Sciences

Feb–Dec 2016

Graduate Diploma (B.Sci.)

Distributed and mobile systems: Using RMI, JSP, EJB, JMS with Java EE

Network Security: CCNA Security

Worked part-time during my final semester

Moscow State University

Bioengineering & Bioinformatics

Sep 2010–June 2015

Specialist Diploma (M.Sci.)

Diploma with honors

Co-authored scientific articles published in peer reviewed journals and available on Springer Link, Google Scholar

Personal projects


Parametric Type Foundry

A directory of parametric fonts that allows the user to preview the generated fonts and add them to their sites using CSS.

Typography, Web fonts, Type design

FontForge, Python




Structured data platform that serves as the foundation of the Semantic Web and Linked Data.

Setting up and managing the cloud infrastructure with Google Cloud. The services used include Google App Engine, Kubernetes Engine, Firebase, Cloud Functions, Genomics.

Managing subscriptions

Processing online payments with Stripe

Accelerated Mobile Pages

SEO, social marketing

AWS: SageMaker, Polly



A neural grapheme-to-phoneme model trained to transcribe English words into IPA pronunciations.

Machine learning, Tensorflow, Recurrent neural networks


Google Kubernetes Engine


Te Reo Maps

An interactive mapping service in which all labels appear in te reo Māori.

Mapbox GL JS, Mapbox rich text styles

Mapnik, OpenStreetMap



Transcript Maps

An interactive mapping service that shows pronunciations of the names of countries directly on the map.

Mapbox GL JS, Mapbox rich text styles

Mapnik, OpenStreetMap




Ligand is a React library for building interactive chemical diagrams.

2D web graphics with Canvas and SVG

Building UMD modules with Rollup.js

Developing touch-based UIs

Combining JS with WebAssembly for running computationally intensive tasks

Button to nowhere testing


What is my Analytics ID?

A tool that helps users find their Google Analytics tracking IDs to install Analytics on their sites correctly.

OAuth 2.0, Google Sign-In, gapi

Google Analytics Management API

Brand and sensitive scope verification for apps that access Google user data:



An interactive guide to pronouncing Auckland street names. Runs automated matching of NZ Post data to Google Knowledge Graph entities and elegantly renders Google Maps.

Google Maps API, Google Knowledge Graph

Google Cloud Run


Sequence logo

A custom visualization for Google Data Studio that renders sequence logo diagrams of protein domains. The demo report uses the visualization to show the primary structure of three domains. The visualization uses my custom connector that fetches sequence data from Pfam.

Custom connectors and visualizations for Google Data Studio

Google Apps Script

Biological sequence analysis, conservation, information content


Participant in the W3C Pronunciation Task Force (Invited Expert)

Google Knowledge Graph entity

Writing and narrating short video tutorials, e.g: