Large scale machine learning
Large scale timing driven analytical global placement
Specialties: Convex modeling, Automatic differentiation, Nonlinear and linear optimization, Quadratic Programming, Graph Algorithms, Network flow, Sub-gradient optimization, Linear regression, Logistic regression, Collaborative filtering, Kernel Methods, Predictive operators for OLAP datasets
Portfolio: debasish83.github.io
Architect for Big Data & AI Platform: www.exponentplatforms.com
Open Source Contributions: ScalaNLP Breeze, Apache Spark, Verizon Trapezium, Interior Point Method for JVM
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