Bio

Build and lead data & machine learning engineering teams Forge partnership with Data Science & Analytics team to deliver business value Large scale machine & deep 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, Deep Learning, Recommendation System Simulation Portfolio: https://debasish83.github.io Open Source Contributions: Tensorflow, Apache Spark, ScalaNLP Breeze, Verizon Trapezium, Interior Point Method for JVM