Summary
Overview
Work History
Education
Skills
Timeline
Generic

PARKER MA

Toronto,Canada

Summary

Energetic and solutions-driven with expertise in cloud development, complemented by strong problem-solving skills and creative thinking. Deeply passionate about advancing software infrastructure

Overview

6
6
years of professional experience

Work History

Software Engineer

Amazon
Toronto, ON
01.2022 - Current
  • Joined the Advertising Privacy Engineering team to develop and maintain systems and infrastructure focused on policy enforcement and data security for Amazon Ads
  • Directed the design and implementation of a Data Tunnelling System, utilized by over 40 Amazon Ads systems, enhancing data transformation security and access control
  • Served as a pivotal member of a 30+ person cross-functional team, ensuring adherence to the EU's Digital Market Act requirements in the Consent Enforcement Project. Played a foundational role in the integration, onboarding, and testing phases, effectively coordinating with 100+ Ads systems and teams to ensure enforcement alignment across Amazon Ads data flows
  • Developed a Configuration and Metrics System for the Pseudonymization System, protecting personal identifiers in Amazon Ads' data flow, supporting over 1 million transactions per second.

Software Engineer

Nanjing University
05.2020 - 11.2021
  • Joined the Institute of HealthCare Data Science to develop data-intensive and research-oriented applications
  • Engineered a healthcare SaaS platform utilized by over 5 hospitals for data collection, management, and analysis using Spring Boot, ReactJS, and DynamoDB, which reduced average patient wait times by 30%
  • Developed an iOS WeChat application using Django to analyze health status from facial images, garnering over 5 million visits.

Software Engineer Intern

BaseBit Technologies
04.2018 - 09.2018
  • Contributed to the Medical Artificial Intelligence Research team by creating tools in Python for AI model training and data preprocessing
  • Engineered solutions using LSTM models to categorize physician diagnoses into medical tokens, enhancing data accuracy and utility.

Education

Bachelor's - Statistics and Computer Science

McGill University
Montreal, QC
05.2020

Skills

  • Jave, Python, Scala - 7 years
  • AWS - 4 years

Timeline

Software Engineer

Amazon
01.2022 - Current

Software Engineer

Nanjing University
05.2020 - 11.2021

Software Engineer Intern

BaseBit Technologies
04.2018 - 09.2018

Bachelor's - Statistics and Computer Science

McGill University
PARKER MA