EXPERIENCE

Software Development Engineer Intern, Amadeus North America, Inc. 06/2022 – 05/2023 Irving, TX, US

•Accelerated client application development by 2 months using WPF, C#, XAML, and .NET with MVVM design, enhancing UI/UX and data logic for customer benefits.

•Seamlessly integrated WPF app with Azure SQL using Dapper ORM in C#, pipelining MongoDB for accurate data retrieval.

•Designed Python 3.9-based automated testing tool for unit testing, JSON mapping, and bug fixing with 100% accuracy.

•Managed packaging with TeamCity, Octopus, BitBucket, and tracked issues via Jira for 30% efficiency boost.

•Implemented RESTful APIs for 50+ daily requests, cutting integration time by 30%. ACADEMIC PROJECTS

Graph Processing using Map-Reduce,

Java, Kubernetes, Docker, k-means clustering, Hadoop, Map-Reduce, Expanse, Big Data, Cloud Computing

•Created Java graph analysis app using Hadoop's Map-Reduce paradigm.

•Achieved 92% accuracy in clustering with multi-source BFS.

•Demonstrated 93% accuracy in distributed HPC environment.

•Managed Kubernetes deployment for scalability.

•Achieved 70% deployment efficiency boost using Docker. Web application Forms, JavaScript, Java, PHP, HTML, Cloud Storage, DOM API, XML, XSLT, Yelp API, DTD, Saxon, XQuery, SQL

•Created a cloud-connected photo album app using Dropbox API for smooth media management.

•Implemented user-friendly features with HTML, JavaScript, PHP, and session handling.

•Achieved 80% space reduction and 15% faster runtime.

•Designed fast restaurant search app with customizable parameters using JS, PHP, and HTML forms. Food Delivery System, Oracle SQL, DBMS, Database Architecture, Data Modeling using ER/EER

•Created Food Delivery System app with meticulous data modeling and ER/EER techniques.

•Implemented normalization to reduce storage by 30% using Oracle SQL.

•Enhanced data visualization by 30% with Power BI and Tableau.

•Strengthened decision-making through improved insights. Vehicle Detection using YOLO v2, Python, R, Machine Learning, K-means, Deep Learning

•Used Python and R for vehicle object detection, data analysis, and preprocessing.

•Employed K-means clustering and YOLO v2 algorithm for precise vehicle detection.

•Managed large datasets with Weka and achieved 92% accuracy through thorough training/testing, improving detection by 7%.

SKILLS

Languages

C#, Java, JavaScript, C++, Python, C, SQL, PHP, HTML5, CSS, XAML, R Developer Tools and Databases

.NET, ASP.NET, .NET Core, Visual Studio, Azure DevOps, Azure Data Studio, MongoDB Compass, BitBucket, JIRA, GIT, Android Studio, Apache Client, MySQL, Oracle SQL, Linux, Unix, Visual Basic, PyCharm, UltiMaker Cura 3D, Expanse, Jupyter Notebook, Pandas, Numpy, jQuery, Figma.

Areas and concepts worked in

WPF Application Development, .NET Framework, CI/CD Pipelines, MVVM and MVC architecture, SOLID Principle, Software Testing, SDLC, Unit and Integration Testing, SQL Database Connectivity and Pipelining using NoSQL, REST, RESTful API, SOAP, Full stack Development, Data Modelling, UI/UX, Relational Database Mapping, Web Development, Object Oriented Design, RDBMS.

EDUCATION

University of Texas at Arlington 08/2021 – 05/2023 Arlington, US Master of Science in Computer Science GPA - 3.75/4.00 Akash Ashok Desai

+1-469-***-**** adzw9r@r.postjobfree.com Dallas, TX, US linkedin.com/in/aad5232 github.com/aad5232

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