Seasoned Software Developer experienced developing applications, databases and cloud computing solutions. Smart professional with proven troubleshooting and debugging capabilities for resolving complex technical issues. Detail-oriented team player ready to contribute to company success.
IDE & Tools - Visual Studio 2022, Visual Code, Postman, Azure DevOps,Robo3T, Docker, Fiddler
Databases- SQL Server 2017, Mongo DB
Project Management & Source Control – GIT, Azure DevOps, Agile methodology,TFS, Waterfall methodology
Project: Connect Plus
ConnectPlus is a test delivery system used by Cambridge Assessment to deliver a wide variety of on-screen tests. The current project is to enhance the supportability of the existing products, bring about improvement in the form of customer change requests and support live usage.
The project follows Agile Software Development Process.
Technologies Used: C#.net, ASP.NET MVC, ADO.NET, J-query, MS SQL, Azure Cloud Service, Docker
Project: AutoIndexing
AutoIndexing is RM's internal project to create an internal ICR engine. The main aim is to create a machine learning model for eBookmarking sessions or candidate IDs on scripts. The project follows Agile Software Development Process.
Technologies Used: C#.net, ASP.NET MVC, MS SQL, MongoDB, Docker, Typescript, React JS, Python,Flask ,Open-CV
Project: Consoli-Win2k8 Upgrade App Rem
Applications worked on
1) Time Track:
Time Track is a reporting system. We can track employee recorded time by employee calendar, generate sick time, sick frequency and zero hour report at various level (company,department ,section,employee)
2)Cycle PET:
The application has many batch process and does not have any user interface. CSS job will generate trip files and CPIS trip file processor will process the trip file and save it to the cyclepet database. MRI processor will process the data from cyclepet database and generate and send MRI file to the fcs system. FCS system will process the MRI file along with meter reading which is saved in FCS database and create MRE file and send the file to cyclepet system. MRE File got processed and will be saved in database. Cyclepet will process and send file to CSS for billing purpose.
Technology used: C#, JavaScript, MS-SQL, TFS, GIT,C++
Project: Inventory Management System
This is an inventory management application from which daily inventory gets allocated to individual associates according to skillset and the associates processes the allocated inventory within the tool UI itself and hence all the transaction logs are easy to follow, and this tool acts as kind-of HRSS tool where the associate's login, logout and break details are captured and showcased by real-time dashboards to the Supervisors and Managers.
Technology used: Python,Flask,MongoDB Database, Azure Cloud Service,
Languages: C, C++, Unix Shell Programming, Java, Spring Boot
Web Technologies: HTML5, Bootstrap