-We have been fascinated by creative ideas that arise out of deep involvement and single-minded
pursuit of a particular subject and the signicant discoveries and applications. This has motivated
us to involve ourselves in active research and cutting-edge product development. Methodologies
and algorithms that have stemmed from the eld of statistics, machine learning are playing an
instrumental role in the analysis of complex and extensive data, successfully assisting practitioners
and scientists in numerous breakthroughs in various areas of machine learning, data science, and
computer vision. Recent advances have made computers experts of their kind, capable of learning
from data and unleashing by themselves the predictive structure of problems. These considerations
led us to believe that articial intelligence is one of the highest impact technology that is currently
being developed and deployed. Widespread deployment of intelligent systems will profoundly
alter the pace of both economic and scientic progress in the business ecosystem, by allowing an
increasingly broad variety of presently labor-intensive tasks to be automated.
Data is the next oil and impetus to run the business in a data driven fashion has gathered
paramount of importance. Our goals at Gauss & Riemann are therefore to develop intelligent sys-
tems that will benet eciently running usual businesses. Building AI-based products/ solutions
catering various business domains are already dicult tasks, and building them in a way that
respects the complex desiderata of human values is even harder. These are both interdisciplinary
eorts, and we draw our inspiration from such diverse elds as machine learning, computer vi-
sion, and applied mathematics. We have established \Human in the Loop" as a fundamental
component of eorts towards enabling data science for majority.
GnR solution space being, in reality, is a \mosaic" of nely crafted targeted solutions. This
nely crafting and positioning of solutions is a direct result of GnR's eld experience and engag-
ing the best in class data science professionals. All the solutions share a set of path-breaking
characteristics which dierentiate GnRs solutions, locally and internationally.
GnRs focus is to develop products and solution for wide array of business problems around machine
learning, statistical inference and signal processing through Innovative Product/Solution Design.
GnR specializes in bridging the gap between cutting edge research in AI and sustainable product
deployment through high performance scale-up, increasing better yield and reliability, reducing
operating costs and making next generation business commercially viable and market ready.
Batch processing: Hadoop Ecosystem: Yarn, Hadoop 1.x, MapReduce Programming, HDFS, Apache Sqoop, Pig, Apache Hive, Apache Flume, Apache Zookeeper, Apache Ambari Apache Spark: RDD(Low level api), Dataframe, Dataset, Spark Sql, Mllib, Pyspark Streaming: Apache Spark, Apache Kafka, Apache Flink NoSql and Search engine: Apache Hbase, Mongodb, ElasticSearch Development Tools and Other Frameworks: Languages: Java, Python, Scala Version Control System: Git (Github,Bitbucket) IDE: Eclipse, IntelliJ Project Management: Maven, SBT Others: Jenkins,JIRA