Yogesh A.

Smart Collateral is a tool for managing collateral between large financial institutions using proprietary blockchain technology. Yogesh contributed to this project by working on various UI modules using React, backend API and various services using NodeJS, creating smart contracts in private blockchain using in-house programming language, and implementing CI/CD processes using CircleCI and automating different processes using Python.

This system enables different types of analysis on insurance documents such as similarity, difference, reference clauses, extracting concepts, and preferred wordings from documents. Yogesh led the team on this project to successfully design architecture for the backend system, making use of different AWS services, design databases in MongoDB and DynamoDB, and implement core functionalities of the project using Python and production machine learning pipeline that had an active learning process.

Machine is an advanced system for aggregating news articles from various sources, applying various analysis, indexing them, and producing results based on the user search criteria. Yogesh was the team lead on this project and together with his colleagues, he worked on designing architecture for the backend system making use of different AWS services, databases in MongoDB and DynamoDB. He also implemented core features in the backend using Python and various AWS services while working on frontend development in Angular.