Personal Information

Organization / Workplace

San Francisco Bay Area United States

Occupation

Statistical Learning Principal at Machine Zone, Inc.

About

I have diverse experience in statistical and machine learning, time series analysis, data-driven mobile marketing, software development, and hardware design. I have a strong publication record and am a strong advocate of open source. Have built a team of exceptional researchers from the ground-up. An effective communicator and deft at working with cross-functional teams in different geographies.
Seasoned architect with exceptional deep dive analysis skills in both hardware & software and with extensive experience in R&D of novel techniques, based on statistical learning and time series analysis, to address end-user experience/revenue impacting problems.
Highly passionate about building...

Tags

anomaly detection
deep learning
time series
statistical learning
algorithms
live data
data sketches
streaming systems
scalability
stream processing
sequence learning
correlation
low latency
machine learning
statistics
real-time
big data
forecasting
cloud computing
attention-based models
apache pulsar
streaming applications
lstm
satori
robust
performance
twitter
capacity planning
space-time tradeoff
battery-constrained
healthcare
ai
speed-accuracy tradeoff
edge computing
stateful computation
serverless
performance accuracy trade-off
jiffy
durability
model serving
real time analytics
neural networks
common representation learning
multimodal
smart cities
computer vision
decision making
pulsar
bookeeper
heron
storage
messaging
missing data
analytics
clustering
statistical leaning
breakouts
anomalies
papacity planning
#velocityconf #capacityplanning #performance #fore
statistical analysis
fail whale
qcon
elasticity
monitoring
garbage collection

See more
Presentations
(23)

See all
Likes
(1)

Hadoop, Pig, and Twitter (NoSQL East 2009)

Kevin Weil
•
13 years ago

Presentations
(23)

See all
Likes
(1)

Hadoop, Pig, and Twitter (NoSQL East 2009)

Kevin Weil
•
13 years ago

Personal Information

Organization / Workplace

San Francisco Bay Area United States

Occupation

Statistical Learning Principal at Machine Zone, Inc.

About

I have diverse experience in statistical and machine learning, time series analysis, data-driven mobile marketing, software development, and hardware design. I have a strong publication record and am a strong advocate of open source. Have built a team of exceptional researchers from the ground-up. An effective communicator and deft at working with cross-functional teams in different geographies.
Seasoned architect with exceptional deep dive analysis skills in both hardware & software and with extensive experience in R&D of novel techniques, based on statistical learning and time series analysis, to address end-user experience/revenue impacting problems.
Highly passionate about building...

Tags

anomaly detection
deep learning
time series
statistical learning
algorithms
live data
data sketches
streaming systems
scalability
stream processing
sequence learning
correlation
low latency
machine learning
statistics
real-time
big data
forecasting
cloud computing
attention-based models
apache pulsar
streaming applications
lstm
satori
robust
performance
twitter
capacity planning
space-time tradeoff
battery-constrained
healthcare
ai
speed-accuracy tradeoff
edge computing
stateful computation
serverless
performance accuracy trade-off
jiffy
durability
model serving
real time analytics
neural networks
common representation learning
multimodal
smart cities
computer vision
decision making
pulsar
bookeeper
heron
storage
messaging
missing data
analytics
clustering
statistical leaning
breakouts
anomalies
papacity planning
#velocityconf #capacityplanning #performance #fore
statistical analysis
fail whale
qcon
elasticity
monitoring
garbage collection

See more