Senior Staff Software Engineer
Current• Responsible for the end-to-end architecture for the ads organization.
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Ed Chen is listed as Senior Staff Software Engineer at Spotify, a with 1 employees, based in New York City Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Ed Chen.
Ed Chen previously worked as Staff Software Engineer at Spotify and Senior Software Engineer at Spotify. Ed Chen holds B.S., Electrical Engineering And Computer Sciences, Bioengineering from University Of California, Berkeley.
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• Expert in Java, Python, and C++ augmented by being highly adaptable in quickly learning new skills.• Strong foundation in computer science concepts such as algorithms, data structures, and OOP.• Highly familiar with mobile development, full-stack development, and data analysis.• Adept at working as a part of a team but also independently when necessary.• Comfortable in a fast-paced, iterative development environment to deliver well-engineered software.• Able to understand complex systems and how to improve them.
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Stockholm, Stockholm County, Se
• Responsible for the end-to-end architecture for the ads organization.
Stockholm, Stockholm County, Se
• Responsible for the end-to-end architecture of the ad format systems.• Architected a new way of fetching ads that enabled more dynamic frequency and duration of ads to improve monetization.• Built and scaled SAI (streaming ad insertion) so that Spotify can dynamically insert ads into podcast and log in real-time its playback.• Architected how the Spotify Audience Network would be implemented for on-platform content.• Mentored senior engineers into becoming staff.
Stockholm, Stockholm County, Se
• Generalist working on delivering a variety of new ad formats for web, desktop, and mobile.• Transitioned from a homegrown ad server to Doubleclick for Publishers in order to scale our ad capabilities.• Built a C++ module for fetching, playing, and logging ads that can be shared between the desktop app and mobile apps.
New York, Ny, Us
• Created a web app to analyze biological data with the goal of providing a service to biologists so that they can easily understand the results through a simple yet intuitive UI, create powerful interactive publication-quality figures using SVG and JavaScript, and share the results with collaborators. The back-end was written using Java servlets and the front-end utilized AJAX to fluidly interact with the back-end. It quickly became a popular tool in systems biology to perform enrichment analysis on expression data due to its ease of use and thorough results.• Developed a Java desktop app, capable of running in a command line, desktop, or web app environment using the same code base, that enables researchers to make predictions on their experimental data so they can better focus their research. Using Maven to manage the project, the app can be built as a singular package for desktop and web use or broken up into 4 lightweight components capable of performing a subset of the analysis. It was used to identify a key protein for kidney disease.• Repurposed existing drug testing data to develop a Java desktop app that can identify the most effective drug cocktails to reverse or induce a condition. It was used to identify a drug cocktail that is effective at treating kidney disease.• Gave several lectures introducing Python programming, data structure concepts, biological data processing, and web programming in Django to graduate students in a computer programming class.
Mountain View, California, Us
• Designed the front-end for a Ruby on Rails web app that centralized changes to a highly edited XML source and notified subscribers of changes to certain sections of the XML. Previously, the shared XML source constantly had conflicts due to simultaneous edits in version control. I also implemented the back-end necessary to propagate the changes to other sources that were dependent on that XML.• Created a regression test suite in Java that compared baseline PDFs to the latest PDFs from tax agencies and incorporated it into the continuous integration system to ensure quality control and to reduce the amount of time that QAs needed to recheck changes to previously finished work.• Developed a desktop Java tool that showed the differences between two PDFs in a visual format so tax analysts could easily determine what part of the tax code changed.• Automated the generation of status reports using XSLT and Java to organize and report the status of the source XML data providing information such as comparison statistics, code completion, and regression test coverage so that managers could get a high-level view of the progress.
Stanford, Ca, Us
Collaborated in developing a Flash web app written in Adobe Flex in just 3 months to visualize and analyze flow cytometry data. Responsible for the majority of the UI design, form data validation, and support for superscript, subscript, and Greek characters in molecule names. Most impressively, I designed an auto-layout function in the network view of the data that would automatically size the partitions of the data types and lay out the nodes according to their type so that the user would not have to do this manually.
San Diego, Ca, Us
• Built a collection of tools in Python and C to interface with testing hardware over a GPIO bus in order to test the reliability and performance of the prototype under various conditions, saving time for the engineers by automating prototype testing.• Ported temperature interface code from C/Windows to Python/Linux in order to better integrate with the rest of the testing tools, written in Python, allowing engineers to create a testing pipeline.• Wrote a Python script to automate the loading of waveforms to the waveform generators, providing the engineers a faster way of testing new waveforms by not having to use MATLAB.
Berkeley, Ca, Us
Helped develop a software-defined radio on a Xilinix FPGA platform using Verilog and ModelSim, developing the address decoder and the interface of the memory units to the onboard PowerPC.
La Jolla, Ca, Us
Involved in the development and maintenance of the departmental website using DotNetNuke, HTML, CSS, and JavaScript.
La Jolla, Ca, Us
Involved in the development and maintenance of the center website using HTML, CSS, Flash, and JavaScript.
Other employees you can reach at spotify.com. View company contacts for 1 employees →
Shiv Goswami
Colleague at SpotifyGurugram, Haryana, India
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HG
Hanna Griffiths
Colleague at SpotifyStockholm County, Sweden
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Krysten Barnes, Mba
Colleague at SpotifyBronx, New York, United States
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Mark Sapida
Colleague at SpotifyCagayan De Oro City, Northern Mindanao, Philippines
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Daniel Harth
Colleague at SpotifyGreater Stockholm Metropolitan Area, Sweden
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Devon Malik Scott
Colleague at SpotifyLas Vegas, Nevada, United States
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Menaf Atalay
Colleague at SpotifyTürkiye, Turkey
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Angie Chan
Colleague at SpotifyNew York, United States
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Abel Céspedes Estévez
Colleague at SpotifyAntigua, Antigua And Barbuda
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Patrick Malanga
Colleague at SpotifyNew York, United States
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Quick answers generated from the profile data available on this page.
Ed Chen works for Spotify.
Ed Chen is listed as Senior Staff Software Engineer at Spotify.
Ed Chen is based in New York City Metropolitan Area, United States while working with Spotify.
Ed Chen has worked for Spotify, Mount Sinai School Of Medicine, Intuit, Covert Lab, Stanford University, and On-Ramp Wireless, Inc..
Ed Chen's colleagues at Spotify include Shiv Goswami, Hanna Griffiths, Krysten Barnes, Mba, Mark Sapida, and Daniel Harth.
You can use AeroLeads to view verified contact signals for Ed Chen at Spotify, including work email, phone, and LinkedIn data when available.
Ed Chen holds B.S., Electrical Engineering And Computer Sciences, Bioengineering from University Of California, Berkeley.
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