About

Paul is a professional cloud architect on the Google Cloud Platform, designing and building data intensive architectures for deploying resilient, highly scalable and fault tolerant big data workloads.

Previously, he worked as a graduate research assistant at York University where he conducted research and built big data applications for graph data mining in social networks . His research was primarily motivated by the need to accurately discover interesting patterns from large data files over 60TB.

You can find him on GitHub where he is building in the open, or on LinkedIn for professional networking.

Writing

Thoughts, stories and ideas.

Creating a ranking dashboard of influential accounts in twitter communities

Creating a ranking dashboard of influential accounts in twitter communities using Neo4j, Apache Spark and RabbitMQ

Updated 3 months ago

Zero to One: Notes on Startups, or How to Build the Future

Personal notes on questions and lessons learnt from Peter Thiel's Zero to One

Updated 5 months ago

The search for a core problem

The search for a core problem is crucial. It concretely determines why your company exist.

Updated 6 months ago

Data Science for Platform Design and User Engagement

Part 1: The need for data driven insights to inform product design at PoleFLS

Updated 6 months ago

Projects

Weekend hacks for fun and learning.

Hacker News

A better Hacker News.

My Stack

A curated list of my favorite tools and software.

Security Checklist

Tools and resources for staying safe on the internet.

Bookmarks

Internet things, saved for later.

Open source work

paulowe / paulowe

The code that powers this website you’re looking at.

paulowe / influence-max-gpp

A graph processing platform to create a ranking dashboard of influential Twitter profiles.

paulowe / maps4resources

A flask application for visualizing spreadsheets on a map.

paulowe / twint

An advanced Twitter scraping & OSINT tool written in Python.

Follow me on GitHub →