Technical Lead
DoneStreet ⦁ 2018-Present
- As the technical Lead at DoneStreet, Alex is responsible for managing multiple client projects including hands on coding as well as project management and team leadership
- Alex is also the lead technical screener responsible for the oversight of technical talent testing and processes
- A couple of Alex's client projects include:
Aurora Labs (Idex) ⦁ 2018-2020
- Building and supporting a large-scale, high-throughput crypto currency trading platform. My responsibilities included working on the public REST API (express.js), Websocket API, React frontend and kubernetes based deployments.
MIT Media Labs ⦁ 2018-2020
- Lead developer for several real-time online human experiments. We used a Meteor.js stack and deployed the experiments to Meteor Galaxy. One experiment involved implementing a Variational Autoencoder model using Tensorflow.js
Max Planck Institute for Human Development Mission Ready Marketing ⦁ 2018-2020
Blue Mesa Health ⦁ 2018-2020
- Built new features and helped implement a GraphQL API. The tech stack included React and a LoopBack.js backend
Software Developer
Onist Technologies ⦁ 2016-2018
- Onist was a fintech startup that built a virtual family office platform
- Migrated legacy Meteor.js codebase to React/Node/Serverless stack
- Built integrations with Yodlee API and Quovo API to aggregate user financial data
- Technical lead of a scrum team with offshore and local team members
Software Developer
AudienceView.com ⦁ 2016
- AudienceView is a white label ticket sales platform with hundreds of customers across North America, including large universities, theatres and sports teams
- Migrated legacy .NET application to Angular2/Node stack
- Used redux, Observables, TypeScript and Angular2 Material
Software Developer
Baymount Private Equity ⦁ 2014-2015
- Real Money Mania
- RealMoneyMania was a US licensed and regulated horse gambling website
- Built five casino-type games using html5 canvas, Angular and Node with an event- driven architecture
- Thoroughbred Horse Race Betting
- This project used machine learning to develop and implement horse betting strategies
- Developed software in python to process data, handicap horses and create bets
- Worked with machine learning specialists who graduated from MIT
Software Developer
VarageSale.com ⦁ 2014
- VarageSale was a ‘virtual garage sale’ application and was named 2014 Startup of the Year by the Canadian Startup Awards
- Fixed UI/UX issues and added new unit testing in Ruby on Rails
Founder
goLadle.com ⦁ 2012-2014
- goLadle was a restaurant discovery website using real-time information about restaurants' events, offers and specials from their Twitter feeds
- Crawled Yelp, Opentable and Tripadvisor to index over 600,000 restaurants
- Processed, sorted and classified millions of tweets every week
Other Projects
- Bitcoin Prediction Market – Personal Project – January 2014
- Online Sports Betting Arbitrage – Personal Project – 2012
- Financial Modelling Using CUDA GPU – M.Sc Research – Fall 2011
- High Frequency Trading Using Genetic Algorithms – M.Sc Thesis Project – Summer 2011
- Equity Options Arbitrage – Personal Project – Summer 2009
- Optimizing Ontario Horse Race Betting Strategies – Personal Project – Summer 2006