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Esau A. Magana
AI KYC solutions (ML & DL)
Education Overview
• university of california berkeley
Companies Overview
• biometrics identity verification face recognition idpassport recognition faceonlive
• upwork
• facefirst
• tandent computer vision
Experience Overview
9 Years
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Experience
MLOps Engineer
biometrics identity verification face recognition idpassport recognition faceonlive | Canada
2022 - 2022
Full Stack Engineer (Computer Vision | Qt | Caffe)
facefirst | San Francisco, California, United States
2017 - 2020
Software Developer (C/C++)
tandent computer vision | San Francisco, California, United States
2014 - 2016
Skills
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Artificial Intelligence (AI)
Computer Vision
Convolutional Neural Networks (CNN)
Deep Learning
MLOps
Mobile
Object detection
Python
Qt
Software Engineer
Software Engineering
ui
Vision
Contact Details
Email (Verified)
esaXXXXXXXXXXXXXXXXXXomMobile Number
+91XXXXXXXXXXEducation
university of california berkeley
Bachelor's degree
2007 - 2013
Frequently asked questions
What company does Esau A. Magana work for?
Esau A. Magana works for biometrics identity verification face recognition idpassport recognition faceonlive
What is Esau A. Magana role in his workplace?
Esau A. Magana's role in his workplace is MLOps Engineer
What is Esau A. Magana's tenure in his workplace?
Esau A. Magana's tenure in his workplace is 0.83 years
What is Esau A. Magana's total experience?
Esau A. Magana's total experience is 9.00 years
What is Esau A. Magana's LinkedIn profile?
What is Esau A. Magana's email address?
What is Esau A. Magana's phone/WhatsApp number?
What schools did Esau A. Magana attend?
Esau A. Magana has attended university of california berkeley
What companies has Esau A. Magana worked with?
Esau A. Magana has worked with biometrics identity verification face recognition idpassport recognition faceonlive, upwork, facefirst, tandent computer vision
What are some of Esau A. Magana's skills?
Esau A. Magana has skills in Artificial Intelligence (AI), Computer Vision, Convolutional Neural Networks (CNN), Deep Learning, MLOps, Mobile and more.
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