• Commonsense Knowledge Elaboration through AMR Graphs: Developed an explanation model to understand the syntactic commonsense inherent in natural language, through AMR Graphs.• Built an end-to-end pipeline for knowledge-based text generation. (NLP, Python, Penman, AMR, Pytorch)

• Worked on a research titled 'NLP techniques for Mindshare analysis of the Medical Literature' with GE Healthcare• Developed a solution using NLP techniques to efficiently track and analyze trends in published medical literature, capture Mindshare and facilitate decision making for industry investigators and researchers.• Developed a semi-supervised Named Entity Recognition tool to tag entities of interest in published medical literature and generate insights using charts, for the stakeholders to analyse.• Achieved tagging accuracy with F1 score of 86%.• Tools: Python, spaCy, NLP, allennlp,

• Migrated an on-premise legacy application to an application on Oracle Cloud, built on the microservice architecture using Jersey framework. (Java, Jersey, REST, Oracle Javascript Extension Toolkit)• Engineered a unique multi-tenant RBAC user management solution for enterprise back office product. (Java, Containers, OJET)• Designed and developed data generation framework for simulating real-time customer transactions and enhanced the performance of the developed RESTful APIs by 65%. (Python, AWR, JMeter, Grafana)• Reduced the deployment time by configuring continuous deployment (CD) on Jetty Webserver using Jenkins, saving approximately 50 hrs/month of development time. (Jetty, Jenkins)

• Developed RESTful WebServices for integration of a subscription based system with the Data Access Cloud Service System and the base system.• Created security interceptors and implemented the OWSM policy in the project for authentication, enabling a seamless flow for data access.• Designed a base pipeline using OSB, that was used by other developers in the project as a base framework for building the APIs.• Built customer facing UI considering Oracle accessibility standards and verified application accessibility using JAWS tool.