Arman Ullah's Resume

Experience

Wipro Ltd

July 2019 - Present

Maintaining a healthcare insurance claim and billing application using C#, C++, WPF, MVC5, SQL Server, ASP.NET WEB API, LINQ/Entity Framework, Bash Scripting, Docker, HTML, CSS
Developed a web service to translate healthcare billing format HIPPA 837 claim to XML using C\#, .NET WEB API, SQL server, LINQ/Entity Framework
Developed a module to unzip the EDI 837 claim files using C\#, SQL server, ASP.NET Core, JavaScript which improves the performance of the application by fifty percent
Developed a medical attachment application in AWS cloud to send healthcare claim's documentations to payers using Java, Spring Boot, Oracle, Hibernate, Python, AWS CodePipeline, EC2, API gateway, Amazon RDS, AWS Lambda, Load Balancer, KMS, AWS CloudFormation etc.
Developed a module in Healthcare clearinghouse application (OKC) to perform advanced edits using Java, Spring Boot, Python, Oracle etc.
Developed a tool to predict submitter's future behaviour by analyzing previous data using Amazon SazeMaker, Amazon Macie, Amazon HealthLake etc.
Migrated the healthcare billing application from FTP to SFTP using .NET library, OpenSSH and Bash Scripting
Helped to migrate the existing application to the AWS cloud environment

Tennessee Technological University

Aug 2016 - Jul 2019

Developed a .NET Web Application that successfully collected 50 lake height data records using ASP.NET Core, .NET WEB API, SQL Server, C#, LINQ/Entity Framework, Angular, HTML5, CSS3. Data was collected in 7 states and 2 countries.
Developed a .NET application which collects satellite data for the purpose of projecting the likelihood and severity of floods using ASP.NET MVC, SQL Server, C#, LINQ/Entity Framework, jQuery, Ajax, React.
Developed a tool to detect the anomaly in the vehicle’s CAN data using deep neural network
Developed a secure CAN protocol for mitigating security vulnera- bilities of in-vehicle network
Developed a python application which calculates the lake area from Landsat Satellite images using Google Earth Engine Python API, Lambda, EC2, S3, DynamoDB, SNS, Amazon API Gateway.
Developed an android application which draws flood forecasts on top of google map.

Programming: C#, Java, Python, C, C++, JavaScript
Web: .NET Core, .NET Core MVC, .NET Core Web API, SQL SERVER, ASP.NET MVC 5, WCF, WPF, TypeScript, JavaScript, React, PHP, Ajax, jQuery, SOAP, REST, Bootstrap, HTML, CSS, Twilio
AWS: Lambda, EC2, S3, DynamoDB, SNS, SQS, Amazon API Gateway, Amazon RDS, KMS, AWS CodePipeline, ECS, Elastic BeanStalk, AWS CloudFormation
Machine Learning:Tensorflow, Pytorch, Scikit Learn, Amazon Machine Learning
Framework:Angular, React, LINQ/Entity Framework, Spring, Spring Boot
Mobile: Android, Ionic, iOS, React Native
Database: SQL SERVER, Oracle, MySQL, Sqlite, PostgreSQL
Tools: Git, SVN | Docker, SASS |NUnit, Junit (Test driven development) | Jira, Rally (Agile development) | Team Foundation Server

Deep Learning Based Forecasting Models of Dengue Outbreak in Bangladesh: Comparative Analysis of LSTM, RNN, and GRU Models Using Multivariate Vari- ables with a Two-Decade Dataset Mohammad Arman Ullah, Ayesha Siddiqua Mim, Mohammad Nayeem Hasan, Md Rezwane Sadik (2024 International Conference on Smart Systems for applications in Electrical Sciences)
SecCAN: A Practical Secure Control Area Network for Automobiles MA Ullah, S Ghafoor, M Rogers, S Prowell (16th International Conference on Cyber Warfare and Security, 364)
Monitoring Variations in Lake Water Storage with Satellite Imagery and Citizen Science Sarina Little, Tamlin M. Pavelsky, Faisal Hossain, Sheikh Ghafoor, Grant M. Parkins, Sarah K. Yelton, Megan Rodgers, Xiao Yang, Jean-François Crétaux, Catherine Hein, Mohammad Arman Ullah, Debolina Halder Lina, Hanne Thiede, Darren Kelly, Donald Wilson, Simon N. Topp Water 3 (7)