Image of Yun Fu

Yun Fu's Email & Phone Number

Software Engineer at Confluent

Yun Fu's Email Addresses

yu****[email protected] Personal Email
y*****@andrew.cmu.edu Work Email

Yun Fu's Phone Numbers

(213) ***-*333 Phone number

Yun Fu's Work Experience

Image of Confluent
Confluent

Software Engineer

October 2018 to Present

Image of Visa
Visa

Senior Software Engineer

August 2016 to September 2018

Yun Fu's Education

Wuhan University

January 2010 to January 2014

Carnegie Mellon University - H. John Heinz III College

January 2014 to January 2016

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In a nutshell

Yun Fu's Ranking

Ranked #1,093 out of 21,860 for Senior Software Engineer in California

Yun Fu's Personality Type

Introversion (I), Sensing (S), Thinking (T), Perceiving (P)

Average Tenure

2 year(s), 0 month(s)

Yun Fu's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 86% chance that Yun Fu is seeking for new opportunities

Yun Fu's Professional Skills Radar Chart

Based on our findings, Yun Fu is ...

Innovative
Doer
Reflective

What's on Yun Fu's mind?

Based on our findings, Yun Fu is ...

52% Left Brained
48% Right Brained

Yun Fu's Estimated Salary Range

About Yun Fu's Current Company

Visa

Frequently Asked Questions about Yun Fu

What company does Yun Fu work for?

Yun Fu works for Visa


What is Yun Fu's role at Visa?

Yun Fu is Senior Software Engineer


What is Yun Fu's personal email address?

Yun Fu's personal email address is yu****[email protected]


What is Yun Fu's business email address?

Yun Fu's business email address is y*****@andrew.cmu.edu


What is Yun Fu's Phone Number?

Yun Fu's phone (213) ***-*333


What industry does Yun Fu work in?

Yun Fu works in the Information Technology & Services industry.


About Yun Fu

đź’Ľ Past Experience

Yunfu started her work experience with Visa in August of 2016. She was a senior software engineer at Visa, working primarily on the performance improvement of Mobile Location Confirmation Service. Her tasks included: improve dataflow from transactions per second (TPS) to TPS, improve TPS latency, and improve cardholder enrollment dataflow. She also took on some other tasks within the company, such as developing the backend of Merchant Simulator and reviewing the development state of the coreference resolution system.In February of 2018, Yunfu was promoted to a senior software engineer at Confluent. Her tasks at Confluent include developing the Mobile Location Confirmation Service, taking on various tasks within the company, and reviewing the development state of the coreference resolution system. At Confluent, she is working with the different areas of the company, such as the Mobile Location Confirmation Service and Merchant Simulator. As of right now, she is the only woman in her department and she is looking to keep that status. Yunfu is looking forward to her next position at Confluent andervaises the work that she is doing there.


🎓 Education

Since her graduate education, Yun Fu has intermittently worked as an information systems administrator in various organizations. In her past work experience, she has excelled in software development, project management and project management methodologies. Yunfu has an understanding of various software development methodologies, including Normalization and Encoding Rules (NER), South West Asian Information Saudi Arabia (SWAIS) and Japanese software development methodologies. She is also well versed in project management methodologies, such as the Extreme Programming Methodology (EPM), Waterfall Planning Methodology and Decentralized Scrum Methodology. Yunfu has authored and co-authored three papers demonstrating her ability to use various software development methodologies. Yunfu is currently a Master's student at Carnegie Mellon University.


đź’ˇ Technical & Interpersonal Skills

Senior Software Engineer at Visa from August 2016 to September 2018• Completed the performance improvement of Mobile Location Confirmation Service. Enabled 200+ million transactions each month based on the on boarding of largest issuers and their clients for better risk analysis with location information• Improved location update dataflow from 20 transactions per second (TPS) with >3000 seconds end to end latency to 300 TPS with 3.9 seconds end to end latency for 95 percentile’s transactions• Improved cardholder enrollment dataflow from 10TPS with >20 seconds end to end latency to 100TPS with 0.22 seconds end to end latency for 95 percentile’s transactions• Refactored the legacy codebase including: processing isolation, implementing splunk logging for better data analysis, rewriting exception handling for better fault tolerance, and rewriting logging for better notification of failures


Yun Fu’s Personal Email Address, Business Email, and Phone Number

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Yun Fu's Social Media Links

/in/yun-fu-58072076
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