Personal Information
Organization / Workplace
Kolkata Area, India, WB India
Occupation
Principal Engineer at Lightbend
Industry
Technology / Software / Internet
Website
debasishg.blogspot.com
About
Programmer, father, husband, avid reader, author, speaker at technology conferences & Seinfeld fanboy. Senior member of ACM and loves spending time with his beautiful family. Passionate about technology and open source, loves functional programming, and has been trying to learn math and machine learning. Authored 2 books - (a) DSLs In Action published by Manning in December 2010 and (b) Functional & Reactive Domain Modeling (upcoming fall 2015 from Manning). Tweets at @debasishg, blogs at Ruminations of a Programmer (http://debasishg.blogspot.com).
Debasish is an active contributor in quite a few open source projects. Some of the projects which he founded and contributed are...
Tags
scala
functional
functional-programming
ddd
domain-modeling
domain specific languages
programming
design
domain-driven-design
zio
java
approximation-data-structures
streaming
big data
patterns
reactive
modeling
property-based-testing
testing
hadoop
nosql
bigdata
event-driven
akka
dsl
dependency injection
See more
- Presentations
- Documents
- Infographics
Interactive Recommender Systems with Netflix and Spotify
Chris Johnson
•
8 years ago
Scala Data Pipelines @ Spotify
Neville Li
•
8 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
9 years ago
Spark Meetup @ Netflix, 05/19/2015
Yves Raimond
•
8 years ago
Beyond Scala Lens
Julien Truffaut
•
9 years ago
QCon São Paulo: Real-Time Analytics with Spark Streaming
Paco Nathan
•
9 years ago
Monoids, Store, and Dependency Injection - Abstractions for Spark Streaming Jobs
Ryan Weald
•
10 years ago
Algebird : Abstract Algebra for big data analytics. Devoxx 2014
Samir Bessalah
•
9 years ago
Your data structures are made of maths!
kenbot
•
9 years ago
What Deep Learning Means for Artificial Intelligence
Jonathan Mugan
•
9 years ago
Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial
Alexandros Karatzoglou
•
10 years ago
Algorithmic Music Recommendations at Spotify
Chris Johnson
•
10 years ago
Music Recommendations at Scale with Spark
Chris Johnson
•
9 years ago
Scala Data Pipelines for Music Recommendations
Chris Johnson
•
9 years ago
Microservices, Containers, and Machine Learning
Paco Nathan
•
9 years ago
A New Year in Data Science: ML Unpaused
Paco Nathan
•
9 years ago
Kdd 2014 Tutorial - the recommender problem revisited
Xavier Amatriain
•
9 years ago
Running Free with the Monads
kenbot
•
10 years ago
Yann le cun
Yandex
•
10 years ago
Tiny Batches, in the wine: Shiny New Bits in Spark Streaming
Paco Nathan
•
9 years ago