I am Debasish Das. I did my BTech from IIT Kharagpur and my PhD from Northwestern University.

An old version of my webpage and details on my graduate work is maintained at Northwestern EECS.

My current interests include scaling distributed convex optimization, developing machine learning algorithms
for batch/streaming workflows and serving the prediction output at scale. I am working on mobile advertising,
marketing analytics and network security related projects at Verizon, Palo Alto Labs

Spark Summit East 2017
Stay tuned for details

Spark Summit Europe 2016
Trapezium API introduced

Hadoop Summit Tokyo 2016
Trapezium introduced

Spark Meetup 2015
Topics covered:

Collaborators: Dibyendu Chakrabarti, Pramod Lakshmi Narasimha

Large scale row similarity calculation with user defined kernels (Cosine, RBF)

Matrix Factorization recommendAll for serving cached recommendations

Spark Summit 2014: Quadratic Minimization in Matrix Factorization
Collaborator: Santanu Das

Distributed Matrix Factorization with Quadratic Minimization

Large rank matrix factorization with Nonlinear (Loglikelihood) loss and constraints

Quadratic Programming using ADMM based Proximal Algorithm in Breeze

NonlinearMinimizer using Projection and Proximal Operators in Breeze

JNI library and Java/Scala drivers for Second Order Cone Programming