Professional Summary

Work Experience

• ServiceNow

  • Leading multiple initiatives and delivering use-cases related to Retail AI, and Manufacturing AI

• Traceable AI

  • Led the machine learning team to define the ML architecture and implement use-cases involving API call-graph anomaly detection

• Talentica software: Led the Talentica data science

• We solved problems involving Natural Language Processing, Application of Deep Learning, Stochastic optimization, Estimation and Prediction for various startups

• Symantec : Worked as a principal engineer

  • Worked in the areas of Cyber security analytics, Mathematical models for computational deception, Interpreting and discovering threats based on text analytics of signature descriptions. 

• Kaybus (Acquired by Prysm Inc) : Worked as a research scientist

  • worked in the areas of Machine Learning algorithms for document recommendation, Text Analytics for detection of anomalous natural language sequences, Text and Image Clustering Algorithms, efficient use of databases and in-memory computation to drive recommendation system, distributed computing and machine learning using Apache spark

• Samsung R&D Institute : Worked as a research engineer

  • worked on algorithms for object recognition in images and video, Video Summarization, Approaches for interactive streaming of UHD video, Shape recognition techniques

• National University of Singapore: Worked as a research fellow

  • Research & Development, User defined region-of-interest (RoI) streaming for live HD video.

• Motorola Research Lab : Worked as a research engineer

  • In-router  video aware bandwidth management algorithms, Location aware enterprise video search, retrieval and presentation methods.

• Hewlett-Packard: worked as a software engineer

  • Software development for network products