My main project focussed on building a cache for real-time ads updates in Google Search. The first part involved building a couple of Cloud Dataflow pipelines for all the data that wasn't change-tracked (think of Cloud Dataflow as a managed, higher-level abstraction of MapReduce concepts). I improved the runtime of these pipelines by over 25% by optimizing the SQL queries (this involved matching join keys to indeces, combining queries, using native materialization into protos and a variety of other techniques). Then, I built a couple of microservices to update our cache by subscribing to change-tracked data via several Pub/Sub queues. This improved the average data freshness in our cache from over 30 minutes to under 1 second.
Member of core backend team for Enterprise Commerce (SAP Commerce Cloud). Worked on API modernization and monolith decomposition. Proposed, owned, and developed a new express checkout flow reducing checkout time by 70%.
Worked on partner team building third-party integrations into the app. Developed an advertisement pushing service reaching 10 million daily users. Built an automated contest generation platform for partners. Since launch, their contests have had over 200 thousand participants.
Founding member of a startup enabling small grocery businesses to take part in the digital grocery revolution. Built an Android app for customer and investor demos in 4 weeks, resulting in $30 000 of investment and 2 stores signing on. Check out our website here!
Worked on the team developing the york.ca website. Created an employee forum using WebSphere APIs for authentication and data storage. Built several web widgets using third-party APIs for a portal used by over 2000 employees.
Some relevant courses I've taken so far:
Generates videos following people using People Pathing from AWS Rekognition and the OpenShot Cloud API for video editing. It's currently being used to track people in choreographies. Resulted in two offshoot projects: an OpenShot SDK for Go and a Go HTTP Client Library.go aws-lambda aws-rekognition
An article comparing gRPC to REST, Protocol Buffers to JSON, and HTTP/2 to HTTP/1.1. Contains benchmarks created using Go channels to compare HTTP/2 request multiplexing to HTTP/1.1 pipelining. Used a Job/Worker pattern with a controlled thread pool size to find the optimal amount of concurrent requests.grpc rest networking concurrency go
Combines a DDR board built using conductive plates, pull-up resistors and an Arduino with a DDR-inspired game built using Unity. Linked up the arduino and game using a serial port.c# c++ unity arduino
Built prior to the USDA having their own searchable database, this Java API parses through the 100 000+ foods and associated nutrient information available in their database data dumps. Uses a purpose-built balanced binary tree and weighted searching algorithm to return the most relevant results super fast. Fun fact: everything used here was built from scratch (searching, balanced binary trees, priority queues, linked lists)!java custom-datastructures search
Aside from being a developer, I spend most of my time on my feet. During the warmer months, I enjoy mountain biking, camping, canoeing, playing soccer and just appreciating the outdoors. When it gets colder, I love to go snowboarding, hiking, and enjoy the snow in all ways possible. I've also recently found lots of fun in skating and cross country skiing.
Year-round, I spend (too much) time in the gym and kitchen since I'm trying to reach some personal fitness goals. I also spend many of my nights reading about whatever seems interesting. Some particular topics that I've read a lot about are finance, investing, productivity, and software development. I've recently started maintaining a list of books I've read on goodreads.