Vijay Srinivas Agneeswaran, Ph.D

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Solving business problems using data sciences approaches. Building analytics framework within upcoming retail PoS of parent org. Combine knowledge of analytics, big data, and people management. R&D in Big Data Analytics Focus on Emerging Technologies Researcher in Grid/Cloud computing Specialties: Re-engineering machine learning algorithms to work on big-data and in real-time, Storm, Spark, Hadoop, NoSQL databases such as MongoDB, Riak, Cassandra, etc., Peer-to-Peer Systems, Grid Computing. Investigating large scale distributed implementation of deep learning networks.

spark deep learning graphlab big data hadoop storm machine learning algorithms machine learning apache spark big data analytics analytics hadoop yarn big-data analytics meta-learning transfer learning federated learning privacy-preserving analytics capsule networks data science continuous speech sentiment analysis big data pipelines machine learning. deep belief networks artificial neural networks forge hadoop 1.0

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About

Vijay Srinivas Agneeswaran, Ph.D

Presentations

Big dataanalyticsbeyondhadoop public_20_june_2013

Big data analytics_beyond_hadoop_public_18_july_2013

Big data analytics_7_giants_public_24_sep_2013

Beyond Hadoop 1.0: A Holistic View of Hadoop YARN, Spark and GraphLab

Yarn spark next_gen_hadoop_8_jan_2014

Distributed deep learning_over_spark_20_nov_2014_ver_2.8

Distributed Deep Learning + others for Spark Meetup

Open problems big_data_19_feb_2015_ver_0.1

Distributed deep learning_framework_spark_4_may_2015_ver_0.7

Distributed computing abstractions_data_science_6_june_2016_ver_0.4

Dl surface statistical_regularities_vs_high_level_concepts_draft_v0.1