Vijayvignesh G S

FAQBot: A devops chatbot application that can communicate and perform basic tasks like answering the FAQ questions, raise Jira ticket etc, with the help of NLP (pytorch and nltk) and machine learning(scikit-learn) inside our bank. We deployed the application on AWS cloud as a docker instance. DEW tool (Cloud Migration Tool): A web based tool that can produce the schedule of list of given applications into waves for migrating the applications from bank infra to cloud and also shows the track of application status using d3.js charts. The entire application is devloped by django and flask_restful API is used to run pulp solver on AWS server.

iWish (I Want Instant Shopping): An application which facilitates seamless experience that provides credits to fit to personal needs, with instant decision and money in due time, through a streamlined online process. Focused on developing reusable REST services using flask-RESTful and maintaining and deploying the application versions to higher environments like QA and Prod using Jenkins and CDD.

TeXcape: An Web Application (powered by Mahout CVB) helps us to mine, analyze, identify insights on the specified corpus of documents (Research, Patent and News feeds) collected from any sources like online journals, magazine and crunch bases. Allows research team to collaborate, innovate and make decisions. Developed end to end components of the applications using python and Java. Involved in developing selenium code to download documents from various sources and release activity.

TCS Code Vita Support: Mobile app helps the support team to consolidate and list all the quires raised by coding contestants and students. Helps analyze and avoid future issues. Responsible for analyzing and designing DB Schema to keep track of queries/issues. Developed end to end application and acted as an interface between technology and other support teams. Involved in deployment and building apk files.

Field Force Management (FFM): Application to manage, schedule and roster and route the associates based on the task. Used forecasting to identify future demands and generate schedules. Mobile App used to track work status. Linear Programming used to generate the roaster and linear/polynomial regression used to predict future demand. Responsible for developing complete end to end system as a full stack developer and implementing client-initiated requirements.