Diego Celis Email & Phone Number
@linkedin.com
1 phone found area 650
LinkedIn matched
Who is Diego Celis? Overview
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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.
Email format at LinkedIn
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AeroLeads found 1 current-domain work email signal for Diego Celis. Compare company email patterns before reaching out.
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.
Diego Celis's current company
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Diego Celis work experience
A career timeline built from the work history available for this profile.
Ai/Ml Engineer @ Knowledge Graph Ml
Ml Infrastructure Software Engineer
Covid-19 Early Detection Researcher @ Department Of Genetics
CurrentWorking with ML/Cloud Teams at the Stanford Center for Genomics and Personalized Medicine (SCGPM).
Google Social Good Intern
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.
Researcher @ Stanford Vision And Learning Lab
Analyzing robot understanding of human emotion via CNN models.
Researcher @ Department Of Management Science And Engineering
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.
Data Transcriber @ Department Of Linguistics
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.
Google Brain & Google Photos Intern
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.
Co-Founder
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.
Product Management And Software Engineering Intern
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.
#Earlybird Participant
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.
Co-Founder And Ceo
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.
Colleagues at LinkedIn
Other employees you can reach at linkedin.com. View company contacts for 23970 employees →
Anis Anis
Colleague at LinkedinZahedan, Sistan And Baluchestan Province, Iran, Islamic Republic Of
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Jeffrey Zhang
Colleague at LinkedinSanta Clara, California, United States
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Mitha Aulia
Colleague at LinkedinJakarta Metropolitan Area, Indonesia
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Mohammad Siam
Colleague at LinkedinDhaka, Bangladesh
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One Heathrow
Colleague at LinkedinSan Francisco Bay Area, United States
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Cem Gunes
Colleague at LinkedinIstanbul, Türkiye, Turkey
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Dhdh Dhdhrh
Colleague at LinkedinSan Francisco Bay Area, United States
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Emran Pathan
Colleague at LinkedinRiyadh Region, Saudi Arabia
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Anshu Kumar
Colleague at LinkedinBihar, India
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Antonio-Mtbjhm23 Doe
Colleague at LinkedinSan Francisco Bay Area, United States
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Diego Celis education
Master Of Science, Computer Science, Conc. Artificial Intelligence
Bachelor Of Science With Honors, Computer Science, Conc. Artificial Intelligence; Music Minor
Makena Intern Seminars Program
High School Diploma, Distinguished Stem Program
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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