Mingye Chen

Mingye Chen Email and Phone Number

Software Engineer @ Block
San Francisco, CA, US
Mingye Chen's Location
San Francisco, California, United States, United States
Mingye Chen's Contact Details

Mingye Chen personal email

n/a
About Mingye Chen

Mingye Chen is a Software Engineer at Block. They possess expertise in cloud computing, data science, go, python, c++ and 8 more skills.

Mingye Chen's Current Company Details
Block

Block

View
Software Engineer
San Francisco, CA, US
Website:
block.xyz
Employees:
12741
Mingye Chen Work Experience Details
  • Block
    Software Engineer
    Block
    San Francisco, Ca, Us
  • Block
    Senior Software Engineer
    Block Apr 2023 - Present
    Oakland, California, Us
    Cash App P2P Payments
  • Twitter
    Senior Software Engineer
    Twitter Sep 2022 - Jan 2023
    San Francisco, Ca, Us
    Build scalable and reliable billing / payment backend systems for Twitter Ads Platform and Subscription Platform
  • Twitter
    Software Engineer Ii
    Twitter Mar 2020 - Aug 2022
    San Francisco, Ca, Us
  • Twitter
    Software Engineer I
    Twitter Feb 2019 - Feb 2020
    San Francisco, Ca, Us
  • Twitter
    Software Engineer Intern
    Twitter Jun 2018 - Aug 2018
    San Francisco, Ca, Us
    • Summer Internship in Ads Billing and Payments Team• Contributed to the backend of next-generation Ads Payments Platform.• Worked on Card Authorization and Fundamental Modules. • Implemented payment gateway client and payment payload builders.• Tech Stack: Scala, Java, Thrift RPC, Finatra, Finagle, Mesos, Zookeeper, Zipkin, Mockito• Method: SOA, AOP, Asynchronous
  • Cisco
    Software Engineer Intern (Backend, Data Infrastructure, Data Mining)
    Cisco Aug 2016 - Jul 2017
    San Jose, Ca, Us
    • One year full-time internship in a U.S. team which builds a cloud-based logging and monitoring service.• Developed Core REST backend using Golang and PostgreSQL, which is a core micro-service supports multi-tenancy and data management.• U.S. Patent Granted (US10353800B2): System and method for graph based monitoring and management of distributed systems• Design and implementation of PySpark SDK for Big Data Analytics Pipeline. • Big Data research and developed applications for anomaly detection, log clustering and correlation computation with Python and Scala(Spark).• Participated in infrastructure development and operations including containerization of team's product with Kubernetes & Docker and configuring Ansible Playbooks for product deployment.• Involved in developing an internal project for real-time monitoring, storage, visualization, and anomaly detection of logs and metrics. Kafka, Elasticsearch, Redis, Spark Streaming are used to build the pipeline.

Mingye Chen Skills

Cloud Computing Data Science Go Python C++ Java C Linux Javascript Internet Security Testing Scala Python

Mingye Chen Education Details

  • Columbia University
    Columbia University
    Computer Science
  • Zhejiang University
    Zhejiang University
    Computer Software Engineering

Frequently Asked Questions about Mingye Chen

What company does Mingye Chen work for?

Mingye Chen works for Block

What is Mingye Chen's role at the current company?

Mingye Chen's current role is Software Engineer.

What is Mingye Chen's email address?

Mingye Chen's email address is mc****@****ter.com

What schools did Mingye Chen attend?

Mingye Chen attended Columbia University, Zhejiang University.

What are some of Mingye Chen's interests?

Mingye Chen has interest in Table Tennis, Politics, Education, Environment, New Technologies, Science And Technology.

What skills is Mingye Chen known for?

Mingye Chen has skills like Cloud Computing, Data Science, Go, Python, C++, Java, C, Linux, Javascript, Internet Security, Testing, Scala.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.