Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Machine Learning & Software Engineering
Secteur d’activité
Technology / Software / Internet
Site Web
http://www.cs.uic.edu/~yzhao
À propos
9+ year R&D experience on large-scale data mining and machine learning engineering with big data (petabyte scale) hands-on experiences (e-commerece, social network, B2B, SaaS, etc.).
• Excellent coding skills:
- Writing production code in Scala/Java/Python with a focus on large-scale real-time data science features, e.g. clustering, classification, anomaly detection, ranking, regression and recommendation.
- I build things. Led, implemented and launched machine learning products/systems including relevant field analysis (recommendation), metric correlation analysis, auto regex generation, log clustering, etc.
- 1st prize winner (2016, AppDynamics), Hackathon Judge (2013, Linkedin), 1s...
Mots-clés
machine learning
data science
big data
devops
apm
ai
intelligence
root cause analysis
anomaly detection
performance
monitoring
application
clustering
regression
classification
data mining
Tout plus
Présentations
(4)J’aime
(2)AWS Config Rules - Advanced AWS Meetup
Ariel Smoliar
•
il y a 8 ans
Production Monitoring Platform
Ariel Smoliar
•
il y a 8 ans
Personal Information
Entreprise/Lieu de travail
San Francisco Bay Area United States
Profession
Machine Learning & Software Engineering
Secteur d’activité
Technology / Software / Internet
Site Web
http://www.cs.uic.edu/~yzhao
À propos
9+ year R&D experience on large-scale data mining and machine learning engineering with big data (petabyte scale) hands-on experiences (e-commerece, social network, B2B, SaaS, etc.).
• Excellent coding skills:
- Writing production code in Scala/Java/Python with a focus on large-scale real-time data science features, e.g. clustering, classification, anomaly detection, ranking, regression and recommendation.
- I build things. Led, implemented and launched machine learning products/systems including relevant field analysis (recommendation), metric correlation analysis, auto regex generation, log clustering, etc.
- 1st prize winner (2016, AppDynamics), Hackathon Judge (2013, Linkedin), 1s...
Mots-clés
machine learning
data science
big data
devops
apm
ai
intelligence
root cause analysis
anomaly detection
performance
monitoring
application
clustering
regression
classification
data mining
Tout plus