Deebika Chandrasekaran

Technical Architect

Cognizant Technologies Solutions

09.2021 - Current

Technical Architect with 13 years of Software Development Experience.
Hands on experience in OpenText Intelligent Capture, Captiva Advanced Recognition, C# & VB Scripting.
Worked in Captiva capture system setup, administration and deployments, licensing as of version 7.7, 16.6,22.4
Worked closely with OpenText engineering team for product customization and hot fixes, patch updates
Involved in discussion with business owners and stakeholders to understand and deliver the requirements
Expertise in designing the capture flow with customizations - integration with third-party systems through API using .net code module
To develop image conversion profiles and other profiles based on the project specific document nature Worked in Captiva 6.5 dispatcher manager by developing templates for classification module
Have experience in Silent/Automated deployment of different Captiva components.
Good experience of Fax, Email & Scanner configurations for getting good quality images and configuring imprints.
Designed and delivered Captiva processes in Captiva designer as well as Process developer
Extensive experience in integrating the process flow with third party modules based on the business requirements
Worked on Installation, Licensing, Sizing, Scaling, Performance Tuning, Load Balancing in Captiva
Implemented Information extraction (AI Based learning) in intelligent capture for classification and extraction
Worked in implementation of web based application using REST APIs with single sign-on and multi-factor authentication using Opentext Directory services in Azure cloud infrastructure
Have worked in Hyperscience to explore on its capabilities
Have worked on Google vision OCR to explore on its extraction results and to analyze the results among various OCR / AI based solutions
Collaborated with cross-functional teams to design and implement effective software solutions, resulting in increased customer satisfaction.
Proactively monitored system performance trends to anticipate potential issues before they escalated into larger problems.