Junyi Qiu

Swe

Junyi Qiu is a highly qualified professional, working in Google main office of which is in 1075. as a Swe since 2019. This person gained professional experience in more than five positions at different companies. Junyi Qiu went to the Uc San Diego and got education there from 2016 to 2017. San Francisco, California is the city, where this professional was known to live. Junyi's phone number and email can be easily accessed through this website by request.
Name variants:
Junyi Qiu
Last updated May 29, 2024

Contact Information

Last Update
Jul 8, 2022
Location
San Francisco, CA
Company

Workplace

Swe

Lenoir, NC

Industry

Nonclassifiable Establishments

Work History

Swe

1600 Amphitheatre Pkwy, Mountain View, CA 94043
from Jan 2019

Software Engineer

3979 Freedom Cir SUITE 530, Santa Clara, CA 95054
Apr 2018 — Dec 2018

Student Researcher

10100 Hopkins Dr, La Jolla, CA
Sep 2017 — Apr 2018

Software Engineering Intern

600 B St, San Diego, CA 92101
Jun 2017 — Sep 2017

Machine Learning and Deep Learning Intern

Mar 2016 — Jul 2016

Education

2016 — 2017

Occupations

IT Professional
Computer Software Professional
Software Engineer
Software Developers

Skills

High Performance Computing
C++
Python
Opencv
Computer Vision
Gpu Programming
Machine Learning
Cuda

FAQs about Junyi Qiu

What is the main profession of Junyi Qiu?

This professional's job is Swe

What are the profession of The professional?

These person's professions are IT Professional and Computer Software Professional

Where does Junyi Qiu live?

Junyi currently lives in San Francisco, California.

Where did Junyi Qiu work?

Junyi Qiu worked at Google, Falcon Computing Solutions, Inc.

What education does Junyi Qiu have?

Junyi studied at the Uc San Diego from 2016 to 2017.

What is professional industry that Junyi Qiu worked in?

Junyi works in Computer Software industry.

Are there any professional skills, that Junyi Qiu has?

Junyi has skills in the following areas: High Performance Computing, C++, Python, Opencv, Computer Vision, Gpu Programming, Machine Learning, and Cuda.
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