Aug 2021 – Dec 2021 · 4 mos · Bengaluru, Karnataka, India

• Implemented a full web application into which we could integrate the core logic from last internship and allowed the user to virtualize APIs with following features:
• Recording Feature : Along with the analysis and runtime features added this to help the user to record sample of interactions from the API at the first place. Recordings could be downloaded and edited and used later to virtualize the API.
• Analysis Feature: Took the recorded sample interaction files from the user on the frontend and submitted to the server which performed the analysis phase and then sent back the model(clusters and prototypes) which is then stored in a database to be used later.
• Runtime Feature: Takes the name of API sends it to the backend where the model is retrieved from the database. Now when an application redirects their request to our backend it responses with a virtual response using the the model.

Jan 2021 – Jul 2021 · 6 mos · Bengaluru, Karnataka, India

• RunTime Phase: Used Virtual Service Model generated by the analysis phase is to create a Virtual Response.
• Extended version of Needleman-Wunsch algorithm along with the Entropy Weights was used to select the appropriate prototype. Required sub-string substitutions made in the new response to create the Virtual Response.

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka, India · Remote

• Worked on developing the feature of Service Virtualization. Implemented techniques from this research paper (https://arxiv.org/pdf/1510.01421.pdf):
• Analysis Phase: Analysed the API interaction Recordings to create a model for Virtual Service.
• Detrmined clusttering tendencies and clustted the recordings using Visual Assessment of Clustering Tendency (VAT) algorithm.
• Implemented Mutiple Sequence Alignment (MSA) using ClustalW algorithm for creating clustter prototype. Entropy weights were assigned to prototypes.