asana > asana Employee Directory > Natalie M.
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Natalie M.
Software Engineer
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Location: San Francisco, California, United StatesApprox. Years of Experience: 5
Natalie M.'s Current Workplace
Asana
Company Size
2500+
Amount Raised
$453.2M
Asana helps teams orchestrate their work, from small projects to strategic initiatives. Headquartered in San Francisco, CA, Asana has more than 131,000 paying customers and millions of free organizations across 190 countries. Global customers such as Amazon, Japan Airlines, Sky, and Affirm rely on Asana to manage everything from company objectives to digital transformation to product launches and marketing campaigns. For more information, visit www.asana.com.
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Notable Investors
Andreessen Horowitz, 8VC, Silicon Valley Bank, Founders Fund, Sam Altman
SaaS
Collaboration
Task Management
Project Management
Enterprise Software
Enterprise Applications
Experience
Software Engineer
Asana · Full-time
Jul 2022 - Present
3 yrs 1 mo
Licensing Team
Software Engineer
Pinterest · Full-time
Aug 2020 - Jul 2022
2 yrs
Batch Processing Platform Team - Spark Platform Created a service to automate the data validation and performance tuning steps of a company-wide migration from Cascading/Scalding to Spark batch processing jobs, and automatically migrate the jobs to run on Spark in production. This service reduced the number of staff hours required per job migration by one week and was successfully used to migrate several hundred data jobs.
SDE Intern
Amazon · Internship
May 2019 - Aug 2019
4 mos
Self-Service Performance Advertising Team Designed and implemented a package to streamline access to advertising campaign data, using Spock and Amazon RDS for integration testing
Research Assistant
The Johns Hopkins University
Feb 2017 - Feb 2019
2 yrs 1 mo
Malone Center for Engineering in Healthcare Researched methods of automating surgical skill level classification using a combination of kinematic data from robot-assisted laparoscopic surgery and ratings crowdsourced via Amazon Mechanical Turk 17: Automated skill classification using time and motion efficiency metrics in vaginal cuff closure
Software Development Intern
The Johns Hopkins University Applied Physics Laboratory · Internship
May 2018 - Aug 2018
4 mos
Created GUI debugger for radar simulation software in C++ with Qt to allow users to trace through simulations and pause on specified events.
Education
  • 2016 - 2020
    The Johns Hopkins UniversityBS, Computer Science
  • 2012 - 2016
    Columbia High School