Personal Information
Organización/Lugar de trabajo
San Francisco Bay Area United States
Ocupación
E=mc^2 @ Salesforce
Sector
Technology / Software / Internet
Sitio web
http://tovbin.com
Acerca de
Versatile software engineer with deep knowledge in search engines, distributed systems, scalable architectures, data processing, data management systems and web technologies.
Research interests include search engines, distributed computing, image processing, computer vision, natural language processing and machine learning.
- Programming languages: expert in Java, Scala and C#; proficient in OCaml, Python, M-Code; competent in C/C++ and JavaScript
- Frameworks: WCF, LINQ, Entities, [N]Hibernate, Hive, Play!, Spray.io, Akka, ZeroMQ, Lwt
- Databases: Cassandra, HBase, Riak, MongoDB, Redis, MySQL, SQL Server, Kafka
- Distributed computing: Hadoop, Spark
- Machine learning: SparkML, Optimus...
Etiquetas
spark mllib
apache spark
machine learning
einstein
salesforce
sparkml
salesforce einstein
feature engineering
transmogrif.ai
transmogrifai
model selection
feature selection
machine learning pipelines
ml
type safety
optimus prime
automl
sbtb
data pipelines
scala
big data
lambda
etl
spark+ai summit 2019
spark summit 2019
2019
spark summit
spark+ai
platform
scalatest
relational data
structured data
sbtb2018
mleap
pmml
pfa
dreamforce2018
dreamforce18
dreamforce
scalasf
scalebythebay
sbtb2017
functional programming
scaladays
sbtb2016
scala by the bay
scalabythebay
scalae2016
scalae
Ver más
Presentaciones
(7)Recomendaciones
(1)Fairness-aware Machine Learning: Practical Challenges and Lessons Learned (WSDM 2019 Tutorial)
Krishnaram Kenthapadi
•
Hace 5 años
Personal Information
Organización/Lugar de trabajo
San Francisco Bay Area United States
Ocupación
E=mc^2 @ Salesforce
Sector
Technology / Software / Internet
Sitio web
http://tovbin.com
Acerca de
Versatile software engineer with deep knowledge in search engines, distributed systems, scalable architectures, data processing, data management systems and web technologies.
Research interests include search engines, distributed computing, image processing, computer vision, natural language processing and machine learning.
- Programming languages: expert in Java, Scala and C#; proficient in OCaml, Python, M-Code; competent in C/C++ and JavaScript
- Frameworks: WCF, LINQ, Entities, [N]Hibernate, Hive, Play!, Spray.io, Akka, ZeroMQ, Lwt
- Databases: Cassandra, HBase, Riak, MongoDB, Redis, MySQL, SQL Server, Kafka
- Distributed computing: Hadoop, Spark
- Machine learning: SparkML, Optimus...
Etiquetas
spark mllib
apache spark
machine learning
einstein
salesforce
sparkml
salesforce einstein
feature engineering
transmogrif.ai
transmogrifai
model selection
feature selection
machine learning pipelines
ml
type safety
optimus prime
automl
sbtb
data pipelines
scala
big data
lambda
etl
spark+ai summit 2019
spark summit 2019
2019
spark summit
spark+ai
platform
scalatest
relational data
structured data
sbtb2018
mleap
pmml
pfa
dreamforce2018
dreamforce18
dreamforce
scalasf
scalebythebay
sbtb2017
functional programming
scaladays
sbtb2016
scala by the bay
scalabythebay
scalae2016
scalae
Ver más