An expert web developer and problem solver.
Building React/Node.js architectures that are maintainable, evolvable, reusable, testable, scalable, secure, performant, cloud native, integrated, fault tolerant, accessible, SEO-friendly, user-friendly, pixel perfect, mobile-friendly, cross-browser, cross-platform, and fit for purpose.
Pixel Fusion Ltd., Auckland
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 third-party services.
React, Redux, React Hooks, Vue.js, Single-page applications
Node.js, Express, Server-side rendering
CSS, PostCSS, JSS/CSS-in-JS, Atomic Design
Module bundlers, Webpack, Gulp
AWS, Amazon Cognito, Serverless, Google Cloud
CI/CD, Docker, Jenkins, BitBucket, GitHub
Test-driven development, Unit testing
SEO, Schema.org, Web accessibility, Cross-browser testing
Google Analytics, Tag Manager, Hotjar
Scrum, Kanban, Dual-track agile, Design sprints, Prototyping
Goodfolk Ltd., Auckland
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
Angular.js, Client-side routing
Atomic design libraries
Marketo marketing platform
Auckland University of Technology
Computer & Information Sciences
Distributed and mobile systems: 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
Diploma with honours
Co-authored scientific articles published in peer reviewed journals and available on Springer Link, Google Scholar (https://scholar.google.com/citations?user=X_3vcToAAAAJ)
A question answering engine based on an RDF knowledge base and implemented as an omnibox supporting predictive typing and autocompletion.
RDF, Semantic web, Schema.org ontology, Triplestores
Autocompletion, predictive typing
React, TypeScript, Node.js, Apollo GraphQL
Google Cloud, Server-side rendering
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
A language learning app that lets the user listen to bilingual playlists and acquire new vocabulary.
Web Audio API, reCAPTCHA
TypeScript, Node.js, Apollo GraphQL
Google Cloud, Server-side rendering
A digital repository for personal genetic information made to provide users with fresh insights from their DNA.
Authentication, User data management
Bioinformatics, Sequence analysis
A multilingual structured data platform that serves as the foundation of the Semantic Web and Linked Data.
DigitalOcean, DigitalOcean Kubernetes
Google App Engine, Kubernetes Engine, Firebase, Cloud Functions, Genomics
Amazon SageMaker, Amazon Polly, RDS, Amazon Mechanical Turk
User accounts and subscriptions, Processing online payments with Stripe
Structured data, Schema.org
Accelerated Mobile Pages, Sitemaps, SEO, Social marketing
A neural grapheme-to-phoneme model trained to transcribe English words into IPA pronunciations.
Machine learning, Tensorflow, Recurrent neural networks
Google Kubernetes Engine
An interactive mapping service in which all labels appear in te reo Māori.
Google Cloud Storage
An interactive mapping service that renders pronunciations of the names of countries directly on the map.
Mapbox GL JS, Mapbox rich text styles
React library for building interactive chemical diagrams.
2D web graphics with Canvas and SVG
UMD modules, Rollup.js
Button to nowhere, Lean analytics
A tool that helps users find their Google Analytics tracking IDs so that they can 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. Aucklander performs automated matching of NZ Post data to Google Knowledge Graph entities and elegantly renders street boundaries on the map.
Google Maps API, Google Knowledge Graph
Google Cloud Run
A custom visualization for Google Data Studio that renders sequence logo diagrams of protein domains. The demo report (https://datastudio.google.com/open/1aOs-XLq6cCHN2l0FPjyzcQJFxxTCXx2t) uses this visualization to show the primary structure of three domains and is featured in the Data Studio Report Gallery (https://datastudio.google.com/gallery?category=community)—the official showcase for Data Studio users' best work. The visualization uses my custom connector (https://github.com/cofactor-io/pfam-msa-data-studio-connector) that fetches sequence alignment data from Pfam.
Custom connectors and visualizations for Google Data Studio
Google Apps Script
2D web graphics with D3.js
Biological sequence analysis