Software Engineer with over five years of experience in Microsoft .NET technologies, including C#, .NET, ASP.NET MVC, .NET Core, Entity Framework, ADO.NET, and SQL Server. Proficient in developing both web & desktop-based applications, with hands-on experience in front-end & back-end technologies and cloud platforms like Azure & AWS. Known for strong problem-solving skills with commitment to best practices and a passion for continuous learning
Communication Test Design Inc, Jeffersonville, Indiana
Programmer Nov 2023 – Present
● Collaborated with an agile team in designing & developing ASP.NET MVC web-based logistics supply chain/warehouse management solution, addressing & resolving 30+ new features, enhancements & bug fixes
● Contributed to design & development of REST APIs, implemented & integrated third-party logistics services for efficient product screening, repair, packaging, & shipping of products
● Optimized PostgreSQL queries and utilized PL/pgSQL, stored procedures, views, functions, and triggers to enhance product inventory management, boosting data retrieval speed & system efficiency by 80%
● Worked with a three-tier application architecture, implementing Dependency Injection (DI) patterns using Ninject and Simple Injector to enhance code modularity, maintainability, and scalability
● Developed & executed unit test cases using xUnit & Moq, ensuring robust code quality & reliability
● Utilized Jira for issue tracking & management, with CI/CD processes handled using TeamCity and Octopus
● Technologies Used: C#, ASP.NET MVC, REST API, .NET Core, Dependency Injection, Razor, Blazor, Entity
Framework, LINQ, Bootstrap, Ajax, JavaScript, HTML, CSS, jQuery, Gitlab, Unit Testing, Amazon Cognito
Myaamia Center, Miami University, Oxford, Ohio
Software Engineer - Part-time Aug 16, 2021 – Present
● Led a 5-member team in designing, developing, & managing 4+ web applications with an effort to revitalize native American culture, language & history
● Launched an online map service using ArcGIS and Esri Leaflet, transitioning from manual upload of map files to a cloud-based solution to depict tribal land history, reducing server storage overhead by 40%
● Developed an inclusive online education platform for diverse Myaamia user groups, providing access to over 100 linguistic, historical, and cultural resources and serving more than 300 active users
● Replaced paper-based submissions of Myaamia scholarship forms by scholarship management system, accelerating submission efficiency by 100%, enabling easy access, tracking & processing of applications
● Utilized Docker for app management & integrated Puppet for CI/CD, collaborating with the DevOps team in implementing Infrastructure as Code (IaC) to automate and standardize deployment
● Spearheaded the migration of projects to AWS, leveraging S3 for secure & cloud-based file management, reducing application server load & improving the overall system’s performance
● Technologies Used: PHP Laravel, REST, .NET Core, MySQL, MariaDB, C#, Bootstrap, Ajax, JS, HTML, CSS, jQuery, Docker, Esri Leaflet, ArcGIS, Gitlab, AWS, Amazon S3
Avery Dennison, Miamisburg, Ohio
Computer Science Intern May 2022 – Aug 2022
● Developed a WinForms application using C# & .NET Framework 4.8, leveraging 3rd party API integration & multithreading to efficiently access & classify products from over 27M GS1-registered products via GTIN scans
● Configured GS1 portal & collaborated in developing a supply chain traceability app, utilizing OOP & asynchronous programming concepts, demonstrating up to a 30% reduction in food waste
● Coordinated the integration of end-to-end beef supply chain transparency by developing a desktop app with API integration to atma.io cloud service, providing real-time visibility of all events of product life cycle
● Technologies Used: C#, .NET Framework, WinForms, REST API, Multi-threading, NuGET, JSON
Venio Systems, Fairfax, Virginia (Client)
Software Developer May 2019 – Jul 2021
● Collaborated cross-functionally with a SCRUM team embracing Agile methodologies, participated in all phases of SDLC from requirement analysis to the design and development of multiple projects’ modules
● Employed microservices architecture & test-driven development (TDD) to deliver a robust legal eDiscovery solution, utilizing .NET Framework & DevExpress for the desktop application UI and Angular with .NET Web API for the web-based platform
● Optimized SQL/T-SQL queries, creating stored procedures, views, triggers & functions in SQL Server 2012, and leveraged ADO.NET, Entity Framework (ORM) & LINQ for efficient data retrieval & management
● Utilized third-party class libraries, such as ASPOSE, for advanced document processing via NuGet packages
● Conducted unit testing using MSTest and Test Explorer in Visual Studio, ensuring effective testing, code quality, and enhanced debugging, resulting in a 30% decrease in post-release bugs
● Delivered effective client support, developing utility apps to resolve issues, enhancing overall client satisfaction
● Technologies Used: C#, ASP.NET MVC, Visual Studio, Microsoft SQL Server, T-SQL, Stored Procedures, Triggers, Functions, Class Libraries, Dynamic Link Library (DLLs), Entity Framework, LINQ, XML, Angular, Azure, Unit Testing, Aspose, IIS, REST, NuGET, DevExpress, REST API, Git, Gitlab
RESEARCH / PROJECTS
Research Interests: Software Engineering, Software Maintenance and Evolution, Data Mining, BioInformatics, Artificial Intelligence
SkeMo
• Developed & deployed a web app for real-time conversion of sketch-to-class-diagram components with 98.7%
accuracy, using Convolutional Neural Networks (CNN) for image recognition model hosted on a Node.js server
• Devised & implemented a new algorithm to identify source & destination end of UML relationship entities
• Conducted a user study to assess system usability and performance and published findings in the A-ranked
IEEE MODELS conference with a 24.6% acceptance rate
• Technologies Used: Python, Machine learning, CNN, Image Recognition, PHP, JavaScript, HTML, CSS,
Node.js server, Bootstrap, Unified Modeling Language (UML)
Desktop App (Game Reviews Miner)
• Created a tool for annotating text data from diverse contexts, including game and app reviews
• Developed & deployed a mining tool leveraging NLP and Transformer neural network to automate bug,
feature requests and complaints extraction from game reviews on the Steam platform
• Built REST APIs using the Django framework, connecting the Java-written client side to the backend for review classification using the model in a client-server architecture
• Conducted a thorough assessment of model generalization across varied review contexts, utilizing 10-fold cross validation techniques, achieving an average F1-score of 0.77
• Technologies Used: Java, Python, Django REST, Transformer Neural Network, AI
Miami University, Oxford, Ohio Graduated 2023
Master’s degree in Computer Science
Tribhuvan University, Institute of Engineering, Nepal Graduated 2018
Bachelor’s in Computer Engineering
Liverpool International College, Nepal Graduated 2014
Higher Secondary Education, + 2 with a major in science
New Light Higher Secondary School, Nepal Graduated 2012
