Welcome to my little slice of the Internet. Little indeed, I do not keep much of a presence here. But I do quite enjoy using technology to solve problems in elegant ways. I work in Linux environments and mostly program in Python. Checkout my GitHub and LinkedIn links along the left for more information. I also quite like testing human ability with endurance sports and day dreaming about whether we exist in a computer simulation and about the pros and cons of voluntarily entering into a computer simulation.

Notable GitHub links

Just one for now, but, I recently starting keeping an on going cheatsheet of things I use pretty often, it can be found here.

What have I been up to?

I have not had this web page for too long, so, this list is not too extensive, but it is to be a living document cutting off at the beginning of each new year.

2017

• Python
• Flask
• AWS (EC2, EBS, Lambda, Kinesis, SQS, Cloud Formation, Cloud Watch, RDS)
• Meetups
  • Toronto Apache Spark #20
  • Get Your Feet Wet with H2O
  • Predictive vs. Causal Analysis - Unique Data Science Needs in the Social Sector
  • Lesson 2: Introductory workshop to TensorFlow
  • AI workshop - TensorFlow intro
  • Lesson 3: Machine Learning in TensorFlow
  • PyData Pandas Hands-On Session
  • Machine Intelligence Ethics
  • Lesson 4: Deployment of Kubernetes
  • Facial Recognition in Python with OpenCV & Watson Visual Recognition
  • Applied AI Toronto Session # 1
• Completed online learning
  • Introduction to Data Science in Python
  • Big Data Analysis with Scala and Spark
• Some scala
• Passionate discussions about build processes and repository architecture
• Docker
• CircleCI

2016

• Python scripting
• data integrations and ETL
• MongoDB optimization
• working on a quickly evolving and quickly scaling big data platform
• Apache Mesos
• some Apache Spark and Scala
• marketing automation
• seeing if I can learn more about stats

2014 - 2015

• Python scripting
• customizing data analytics with business rules written in Python
• Linux administration
• MongoDB deployments, scaling, and administration
• marketing automation

< 2014

• I'd love to have memory that served be this well, but I have a few points
• considered venturing into IT Law
• studied how to use IT for business
• taught myself a lot about software development and Linux