Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
CEO at Pyxeda AI
Branche
Technology / Software / Internet
Info
I am the CEO of Pyxeda AI. Previously, I co-founded ParallelM and defined MLOps (Production Machine Learning and Deep Learning). I am also the co-chair for USENIX OpML 2019 - the first conference dedicated to production AI deployment and management.
My background is in distributed software, systems and applications. Prior to PM, I was Lead Architect/Fellow at Fusion-io (acquired by SanDisk), Architect at Intel, and CTO at Gear6.
I got my PhD from UC Berkeley in Computer Science.
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machine learning
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production
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data science
tensorflow
full stack data science
security
optimization
flash
data management
ai trends
reproducibility
data scientists
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how to
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micro-batch
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streaming analytics
memory
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Präsentationen
(10)Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
CEO at Pyxeda AI
Branche
Technology / Software / Internet
Info
I am the CEO of Pyxeda AI. Previously, I co-founded ParallelM and defined MLOps (Production Machine Learning and Deep Learning). I am also the co-chair for USENIX OpML 2019 - the first conference dedicated to production AI deployment and management.
My background is in distributed software, systems and applications. Prior to PM, I was Lead Architect/Fellow at Fusion-io (acquired by SanDisk), Architect at Intel, and CTO at Gear6.
I got my PhD from UC Berkeley in Computer Science.
Tags
machine learning
deep learning
production
ai
artificial intelligence
ml
devops
production ml
mlops
spark
storage
analytics
opml
governance
cloud
deployment
data science
tensorflow
full stack data science
security
optimization
flash
data management
ai trends
reproducibility
data scientists
ml engineers
provenance
workloads
ccpa
gdpr
tutorial
how to
google cloud platform
azure
amazon marketplace
amazon web services
sagemaker
aws
demo
data scientist
scikit learn
python
operations
automation
kubernetes
microservice
rest
ml monitoring
ml application lifecycle managment
ml application
ml lifecycle
ai summit
operational ml
edge computing
big data
flink
streaming
online machine learning
micro-batch
parallel machines
streaming analytics
memory
Mehr anzeigen