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Diego Celis Email & Phone Number

Senior Machine Learning Engineer @ News AI at LinkedIn
Location: New York, United States 14 work roles 4 schools
1 work email found @linkedin.com 1 phone found area 650 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email d****@linkedin.com
Direct phone (650) ***-****
LinkedIn Profile matched
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Current company
Role
Senior Machine Learning Engineer @ News AI
Location
New York, United States
Company size

Who is Diego Celis? Overview

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Quick answer

Diego Celis is listed as Senior Machine Learning Engineer @ News AI at LinkedIn, a with 23970 employees, based in New York, United States. AeroLeads shows a work email signal at linkedin.com, phone signal with area code 650, and a matched LinkedIn profile for Diego Celis.

Diego Celis previously worked as AI/ML Engineer @ News AI at Linkedin and AI/ML Engineer @ Knowledge Graph ML at Linkedin. Diego Celis holds Master Of Science, Computer Science, Conc. Artificial Intelligence from Stanford University.

Company email context

Email format at LinkedIn

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{first_initial}{last}@linkedin.com
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AeroLeads found 1 current-domain work email signal for Diego Celis. Compare company email patterns before reaching out.

Profile bio

About Diego Celis

I'm an honors Stanford graduate who's looking to shape technology to work in the user's best interests. Having moved from Venezuela to the United States at about eleven years of age, I recognize how paramount it is we build technologies that help, and not hurt, us. I seek to use my focus and resources to fulfill this imperative, and to help others pursuing the same goal.

Listed skills include Research, Project Management, Python, Java, and 15 others.

Current workplace

Diego Celis's current company

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LinkedIn
Linkedin
Senior Machine Learning Engineer @ News AI
New York, NY, US
Website
Employees
23970
AeroLeads page
14 roles

Diego Celis work experience

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

Senior Machine Learning Engineer @ News Ai

New York, Ny, Us

Ai/Ml Engineer @ News Ai

Current

Sunnyvale, Ca, Us

Working in conjunction with Video AI.

Oct 2024 - Present

Ai/Ml Engineer @ Knowledge Graph Ml

Sunnyvale, Ca, Us

Jun 2023 - Dec 2024

Ml Infrastructure Software Engineer

Sunnyvale, Ca, Us

Sep 2020 - Jun 2023

Covid-19 Early Detection Researcher @ Department Of Genetics

Current

Palo Alto, Ca, Us

Working with ML/Cloud Teams at the Stanford Center for Genomics and Personalized Medicine (SCGPM).

Mar 2020 - Present

Google Social Good Intern

Mountain View, Ca, Us

Created disbursement dashboard for NGOs to monitor money flow consistency in donations made to Google. Learned complex industrial web development systems and integrated self-developed donation APIs using protos. Wrote a design doc for the disbursement dashboard detailing implementation and designed rigorous unit tests. Completed assigned project plus a stretch goal, despite having zero prior experience with the needed technologies.

Jun 2019 - Sep 2019

Researcher @ Stanford Vision And Learning Lab

Stanford, Ca, Us

Analyzing robot understanding of human emotion via CNN models.

Jun 2018 - Jun 2019

Researcher @ Department Of Management Science And Engineering

Stanford, Ca, Us

Developed Python software using BeautifulSoup that systematically scrapes legislature HTML from US government servers to study how banking law changes relate with US financial crises. Designed algorithm for processing and sorting banking legislature into a hierarchical structure for financial analysis. Created text comparison tool for finding differences between legislatures across differing time periods.

Sep 2016 - Jun 2018

Data Transcriber @ Department Of Linguistics

Stanford, Ca, Us

Transcription of historical documents for linguistic and historical research. Listened to confidential audio files of subjects speaking in English and Spanish in order to record words used for further analysis.

Oct 2016 - Mar 2017

Google Brain & Google Photos Intern

Mountain View, Ca, Us

Researched deep neural network speed and accuracy improvements via varying latent space configurations, including discrete and continuous state representations for optimizations in NLP and CNN applications for Google Brain.Implemented user feedback tools to improve ML image clustering models for Google Photos iOS. Contributed meaningful technical and design choices to improve user experience and brand perception via collaboration with PM and UI teams. Wrote design docs and QA test plans.

Jun 2018 - Sep 2018

Co-Founder

Vinterv

Virtual interviewing platform that uses NLP to give recruiters an easy way to decide which early-stage candidates to push forward in the hiring process. Designed API's that allow communication between MongoDB and main site to store candidate data and progress. Attracted exposure and testers needed to evaluate ML model.

Oct 2016 - Oct 2017

Product Management And Software Engineering Intern

San Jose, California, Us

Optimized ML logic for classifying farming tractor routes as on- or off-job for major IoT agricultural solution with 95% accuracy and presented finished product as business call lead to client company's CEO. Developed treated land area-finding algorithm using GPS coordinates via Hausdorff method. Implemented tri-circular bluetooth beacon triangulation algorithm for an indoor device positioning system.

Jun 2017 - Sep 2017

#Earlybird Participant

San Francisco, Ca, Us

Implemented new Twitter profile data visualization tab feature with a team of 6 via JSON servers, JavaScript, and HTML/CSS. Won 1st place in feature competition after presenting new feature and live demo to Twitter CEO and engineers. 27 out of 900 applicants were admitted into this 5-day program.

May 2017 - May 2017

Co-Founder And Ceo

The Circuitry Institute

Self-made business and school organization run by a team of 8 with a mission to empower high schoolers to break through the curriculum and learn collegiate topics via lectures and tests. Developed Java grader for multiple-choice tests with weighted questions and dynamic lengths. Taught collegiate science topics to 700+ regular attendees on a monthly basis and formulated tests for attendees.

Mar 2014 - Jun 2016
Team & coworkers

Colleagues at LinkedIn

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4 education records

Diego Celis education

Master Of Science, Computer Science, Conc. Artificial Intelligence

Stanford University

Bachelor Of Science With Honors, Computer Science, Conc. Artificial Intelligence; Music Minor

Stanford University

Makena Intern Seminars Program

Stanford University Graduate School Of Business

High School Diploma, Distinguished Stem Program

Clements High School
FAQ

Frequently asked questions about Diego Celis

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

What company does Diego Celis work for?

Diego Celis works for LinkedIn.

What is Diego Celis's role at LinkedIn?

Diego Celis is listed as Senior Machine Learning Engineer @ News AI at LinkedIn.

What is Diego Celis's email address?

AeroLeads has found 1 work email signal at @linkedin.com for Diego Celis at LinkedIn.

What is Diego Celis's phone number?

AeroLeads has found 1 phone signal(s) with area code 650 for Diego Celis at LinkedIn.

Where is Diego Celis based?

Diego Celis is based in New York, United States while working with LinkedIn.

What companies has Diego Celis worked for?

Diego Celis has worked for Linkedin, Stanford University School Of Medicine, Google, Stanford University, and Vinterv.

Who are Diego Celis's colleagues at LinkedIn?

Diego Celis's colleagues at LinkedIn include Anis Anis, Jeffrey Zhang, Mitha Aulia, Mohammad Siam, and One Heathrow.

How can I contact Diego Celis?

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

What schools did Diego Celis attend?

Diego Celis holds Master Of Science, Computer Science, Conc. Artificial Intelligence from Stanford University.

What skills is Diego Celis known for?

Diego Celis is listed with skills including Research, Project Management, Python, Java, C++, Html, Object Oriented Programming, and Theoretical Physics.

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