Welcome to my site!

My name is Jeff.

I like to build things.

Websites, APIs...

Cloud infrastructure...

ML models & pipelines...

...you name it!

If it's challenging...

You can bet I'll love it.

Check out my work ↓!

Welcome to my site!

Full Stack & Machine Learning Engineer | Co-founder of XOR

University of Waterloo Computer Science

About

What I'm all about.

I am a highly driven and inquisitive engineer with a passion for the sciences, a love for the arts, and a strong commitment to community.

Apart from change, learning has been the singular constant in my life. From business to chemistry, web dev to machine learning, I have always spent my time gaining the skills I can use to make the greatest positive impact on myself and others. My latest focus, in addition to my curricular computer science studies, is entrepreneurship and project management - the art of driving an idea home from start to finish.

At a Glance

  • 3International Medals
  • 2Hackathons Wins
  • 1Peer Reviewed Paper

Skills

What I can do.

Web Dev

React, Redux, Meteor and anything else that can be npm-installed

Machine Learning

Artificial neural nets, convolutional neural nets, Bayes classifiers

Cloud Technology

AWS λ, EC2, EC2 ASG/ELB, ECS, SQS, CloudWatch, SNS...and Azure

Continuous Integration

Jenkins, CircleCi, Slack Integrations, Dependency Caching, Microservices

Backend Infrastructure

NodeJS/ExpressJS servers, nginx load balancing, Dockerized services

Delivery Mindset

A passion for delivering above and beyond expectations every time

Experience

Where I've been.

  • XOR

    Los Angeles | 2018

    Managed development of a blockchain lending platform in an Agile scrum team. Created and ensured adherence to product roadmap. Led investor communications by drafting the product whitepaper and pitch emails, which ultimately secured funding from the 1517 investment fund.

  • SelfMade

    New York City | 2018

    Overcame a company-wide blocker by proposing and implementing an auto-scaling, self-replicating EC2 cluster capable of bypassing Instagram’s 200 request/hr API rate limit. Built a triplet convolutional net in Pytorch to identify stylistically similar Instagram users. Developed this model into a content sourcing feature, enabling client managers to automatically find relevant images to repost on customers’ Instagram accounts.

  • Teranet

    Toronto | 2017

    Implemented a location-based search results caching feature using the Java Spring framework and PostgreSQL, improving load time by an average of 45%. Designed and implemented a cross-domain cookie authentication system to securely load and cache proprietary images from a partner company. Overhauled CI system by upgrading Jenkins, porting a Windows build process to Linux, and refactoring Selenium tests, saving at least $50,000 in hardware maintenance costs.

Education

How I've learned.

  • University of Waterloo

    Computer Science (2016 - Present)

    4.97/5 GPA, Dean's Honor List three terms in a row (all terms since first semester in freshmen year), President's Scholarship of Distinction.

  • Wilfrid Laurier University

    Business Administration (2016 - 2018)

    12/12 GPA, voluntary withdrawal after second year.

Awards

How I've fought.

  • Bronze Medal
  • Season Medal
  • Top 1%
  • Pitch Finalist
*More extensive list available on LinkedIn.

Contact

Get in touch!

  • LocationCanada / United States
  • Phone+1 (647) 983 1249 +1 (332) 255 8564
  • Websitejeffan.ca
  • Emailjeff.an@edu.uwaterloo.ca

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