Michael Yu myy****@gmail

linkedin.com/in/m****.com github.com/yumichael.com

Experienced software engineer with diverse technical skills and a track record of delivering innovative solutions.

Positions

Amazon Seattle, WA

Software Development Engineer Sep 2020 – Mar 2022

Worked on Java services that calculate all Amazon seller fees and also let business modify seller fee structure.

Wrote high and low level design documents for automating fee structure expansion to new marketplace project.

Implemented globalized fee for monthly bills on new linked accounts program (used DynamoDB).

Designed and implemented new API flow to migrate code from deprecated dependency in fee platform.

Yelp San Francisco, CA

Software Engineer Oct – Dec 2019

Developed backend API endpoints on Python web framework for business portfolio photo linking feature.

Wrote Splunk dashboard SQL queries for important product metrics.

Intel (PSG) San Jose, CA

Software Development Engineer Jun 2018 – Oct 2019

Investigated using FPGA compiler generated data to explain predicted vs actual circuit timing constraints.

Created Python tools to process data (logs and XML) and make visualization plots to diagnose those issues.

A Thinking Ape Vancouver, BC

Software Development Engineer Intern Apr – Aug 2013

Mobile and backend dev on main line of games at profitable ex-FANG engineers founded <20 engineers start-up.

Designed and implemented account management UI on iOS (Objective-C) and Android (Java) for new user ID system which tracked the same player on multiple devices via Facebook or email.

Collaborated with PM to write algorithm for matching teams in battle on distributed backend (Python Django).

BTI Systems Ottawa, ON

Web Developer, Intern Feb – Jun 2012

Created web application for visualizing bug statistics using jQuery backed by PHP and SQL.

Personal Projects.

The Resistance game (Typescript React Native mobile app) Mar – Aug 2019

Simplified real-time player interactions (including chat) implementation using Firebase and reactive pattern.

Maintained codebase health with modular design, React and MobX best practices, and custom React hooks.

G-Research Financial Forecasting Challenge ($30k prize Python data science competition) Feb – Apr 2018

Finished 15th / 404; first place explains 43.5% of private leaderboard’s target variance, mine explains 42.0%.

Built linear and XGBoost models of near optimal score from munged per-stock principled data transforms.

Invented a greedy linear model for feature set selection and used Numba JIT to attain tractable run-time.

Grade summary (Python Flask web application, helpful tool for course I TAed) Nov 2016

Built Flask web app that shows grade histograms across different classes using data scraped from TA website.

Raytracer 3D scene renderer (C++ raytracing engine) Apr 2016

Uses “distributed ray tracing” to render realistic lighting.

Profiled with Visual Studio to identify a caching opportunity in starter matrix utility code to run 10 faster.

Education

University of Toronto Toronto, ON Sep 2016 – Nov 2017

M.Sc. Mathematics H.B.Sc. Mathematics Specialist and Computer Science Major (CGPA: 3.87/4) Sep 2012 – Jun 2016

Received $40,358 in academic awards and $36,500 in government research grants

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