• End to end architecture of solution
• Research on various  image processing components for this solution as it was built from scratch
• Train different deep learning models

• Design end to end solution for extracting sentiments of employees is pulse survey
• Trained deep learning models using RNN/LSTM

• Classification of tickets into multiple groups
• Optimization using Linear Programming
• Named entity recognition of client documents
• Finding distribution anamoly using Anova
• Share price prediction using time-series
• Evaluation of spark SQL on Hadoop, Hive vs Impala etc.

Have been working as Architect since many years on enterprise projects, RFPs etc. Since last 3-4 years, I have focused primarily on Machine Learning projects.

• Smart intake
• Web crawling
• Modernization
• Multi-tier projects for large clients on domains such as insurance, finance, telecom. Tech: Java, Legacy, JavaScript
• Legacy projects

• Research on quantum computing
• Wrote a research journal that is about to be sent for review and publication
• Implemented a design pattern
• Analyse prospective use cases