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Xin Kelly Email & Phone Number

Principal Infrastructure Engineer at Cognite
Location: Oslo, Norway 6 work roles 2 schools
1 work email found @zoox.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email x****@zoox.com
LinkedIn Profile matched
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Current company
Role
Principal Infrastructure Engineer
Location
Oslo, Norway

Who is Xin Kelly? Overview

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Quick answer

Xin Kelly is listed as Principal Infrastructure Engineer at Cognite, based in Oslo, Norway. AeroLeads shows a work email signal at zoox.com and a matched LinkedIn profile for Xin Kelly.

Xin Kelly previously worked as Senior Software Engineer at Zoox and Staff Software Engineer— Machine Learning at Bill.Com. Xin Kelly holds Doctor Of Philosophy (Ph.D.), Computer Science from Tongji University.

Company email context

Email format at Cognite

This section adds company-level context without repeating Xin Kelly's masked contact details.

{first_initial}{last}@zoox.com
86% confidence

AeroLeads found 1 current-domain work email signal for Xin Kelly. Compare company email patterns before reaching out.

Profile bio

About Xin Kelly

Experienced software engineer on ML/AI modeling and infrastructure.

Listed skills include C++, Python, Machine Learning, Data Analysis, and 17 others.

Current workplace

Xin Kelly's current company

Company context helps verify the profile and gives searchers a useful next step.

Cognite
Cognite
Principal Infrastructure Engineer
AeroLeads page
6 roles

Xin Kelly work experience

A career timeline built from the work history available for this profile.

Principal Infrastructure Engineer

Current

Lysaker, Bærum, No

Nov 2024 - Present

Senior Software Engineer

Foster City, California, Us

ML Infrastructure / Model serving platform

Sep 2022 - Sep 2024

Staff Software Engineer— Machine Learning

San Jose, Ca, Us

Developed ML features for the Product IVA

Aug 2018 - Sep 2022

Research Engineer(Contractor)

Mountain View, Ca, Us

As a machine learning research engineer working on Project Jacquard and SoliBuild in-production machine learning models for real time gesture recongintion systemDesign training and evaluation pipeline for the end-to-end gesture recognition pipelineR&D algorithm and system for gesture recognition pipeline

Jul 2017 - Aug 2018

Data Engineering Followship

San Francisco, Ca, Us

Implement HMM in Spark Data Streaming

Jun 2017 - Jul 2017

Machine Learning Engineer

Cohelm.Com

Designed tables for online quiz in Postgres and Sqlite3 databasesAutomated translation of Top 500 English words in any language from google translate using PythonSetup a Chinese to English vocabulary quiz website in Django on Amazon Web ServerImplemented a short answer quiz based on a Django quiz app from Github

Jan 2016 - Apr 2017
2 education records

Xin Kelly education

Doctor Of Philosophy (Ph.D.), Computer Science

Tongji University

Visiting Student, Computer Science

University Of California, Berkeley
FAQ

Frequently asked questions about Xin Kelly

Quick answers generated from the profile data available on this page.

What company does Xin Kelly work for?

Xin Kelly works for Cognite.

What is Xin Kelly's role at Cognite?

Xin Kelly is listed as Principal Infrastructure Engineer at Cognite.

What is Xin Kelly's email address?

AeroLeads has found 1 work email signal at @zoox.com for Xin Kelly at Cognite.

Where is Xin Kelly based?

Xin Kelly is based in Oslo, Norway while working with Cognite.

What companies has Xin Kelly worked for?

Xin Kelly has worked for Cognite, Zoox, Bill.Com, Google, and Insight Data Science.

How can I contact Xin Kelly?

You can use AeroLeads to view verified contact signals for Xin Kelly at Cognite, including work email, phone, and LinkedIn data when available.

What schools did Xin Kelly attend?

Xin Kelly holds Doctor Of Philosophy (Ph.D.), Computer Science from Tongji University.

What skills is Xin Kelly known for?

Xin Kelly is listed with skills including C++, Python, Machine Learning, Data Analysis, Algorithms, Programming, Web Development, and Data Modeling.

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