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Full Stack .NET Developer

Location:
Chicago, IL
Posted:
June 04, 2025

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Resume:

AJAYBABUMADDELA

Full Stack .NET Developer

+1-734-***-**** ********.********@*****.*** LinkedIn SUMMARY:

Full-stack Software Engineer with 2 years of experience delivering scalable web and enterprise applications using .NET Core, Angular, and SQL Server. Proven ability to design and optimize RESTful APIs and internal tools that enhance system performance and user workflows. Skilled in cloud development, CI/CD with Azure DevOps, and Agile delivery. Experienced with architectural patterns like MVC and microservices, and well-versed in modern front-end frameworks, unit testing, and SQL performance tuning. TECHNICAL SKILLS:

Languages: C#, JavaScript, TypeScript, SQL, Java, Python

Frameworks & Libraries: .NET Core, ASP.NET MVC, Entity Framework, LINQ, Web API, GraphQL, Angular 12, React, Bootstrap

Web Technologies: HTML5, CSS3, jQuery

Tools & DevOps: Visual Studio, Git, Azure DevOps, Jira, TFS, IIS, CI/CD, SSIS

Databases: SQL Server, Oracle, MySQL, and MongoDB

Cloud Platforms: Microsoft Azure, Google Cloud Platform (GCP)

Development Practices: RESTful API Design, Microservices, Unit Testing, Code Reviews, Agile

(Scrum), Authentication (Active Directory), Performance Optimization

Familiar With: VB.NET, WPF, WCF, AngularJS, Waterfall, Three-tier Architecture PROFESSIONAL EXPERIENCE:

Sapotsystems / Chicago Housing Authority

Full Stack Software Engineer (.NET Core + Angular) April 2023 – Present

Developed and maintained high-availability .NET Core web applications for both public portals and internal tools, ensuring scalable and secure architecture.

Built and optimized RESTful APIs using ASP.NET Core and Web API, reducing data load times by 30% for housing waitlist systems.

Designed interactive front-end components using Angular 12, HTML, CSS, TypeScript, and Bootstrap, improving usability for accommodation request workflows by 40%.

Migrated legacy ASP.NET MVC applications to Azure DevOps pipelines, automating CI/CD and enabling zero-downtime deployments.

Refactored a monolithic pension calculator into modular .NET Core microservices to improve maintainability and scalability.

Created and managed complex SQL Server stored procedures, views, and indexes, improving overall query performance by 25% and supporting data integrity and reusability.

Developed Windows applications using WPF and XAML, implementing custom controls and user validation aligned with business rules.

Participated in Agile sprints, daily stand-ups, sprint planning, and retrospectives, contributing to the successful delivery of 4+ major product releases.

Conducted code reviews, executed unit and integration test cases, and collaborated on performance tuning and defect resolution to maintain production quality standards.

Authored and maintained technical documentation, functional specifications, and internal wiki pages for ongoing development and deployment clarity.

Deployed and configured applications on IIS via automated Azure DevOps release pipelines, streamlining release management and server provisioning. Key Projects:

Waitlist Portals: Designed user-friendly interface and backend logic to streamline applicant management for housing programs.

Pension Calculator: Created a secure tool for employees to simulate retirement benefits based on dynamic formulas.

Summer Food Program: Engineered tracking system to manage resource allocation and reporting for food assistance initiatives.

Environment: Visual Studio 2019/2022, NET Framework 4.5/4.6.1, C#.NET, ASP.NET/ASP.NET MVC, Angular 9.0/12, JavaScript, TypeScript, HTML5, CSS3, Bootstrap, jQuery, ADO.NET, Entity Framework, LINQ, NHibernate, WPF, WCF, Web API, RESTful APIs, SQL Server 2019, Oracle 11g, SSIS, JSON, XML, Azure DevOps, Git, IIS, TFS, Agile, Windows OS PROJECTS& EXTRAS

Productivity Prediction System C#, ML.NET, ASP.NET Core, SQL Server

Developed a machine learning solution using ML.NET and C# to predict garment worker productivity, including data preprocessing (handling missing values, normalization, feature encoding) and model training (FastTree, SDCA).

Built a web-based dashboard using ASP.NET Core MVC and Chart.js to visualize productivity insights, integrating a trained model via ASP.NET Core Web API for real-time predictions.

Managed data storage and retrieval using SQL Server with Entity Framework Core, enabling seamless data operations throughout the application. Sales Forecasting System C#, ASP.NET Core,ML.NET, EF Core, SQL Server

Developed a machine learning-driven web app using ASP.NET Core and ML.NET to predict retail sales based on historical data, weather, holidays, and seasonal trends, enabling better stock allocation and reduced inventory waste.

Built and exposed prediction APIs, applied regression models (FastTree, FastForest), and used K- Fold Cross Validation for accuracy; managed data and results with EF Core and SQL Server. Algorithm Practice & Problem-Solving

Solved over 150+ LeetCode problems in arrays, trees, DP, graphs, and system design patterns.

Familiar with common design patterns (Factory, Singleton, Repository) and object-oriented principles.

EDUCATION

Master of Science in Computer Science and Information Systems University of Michigan — Flint, Michigan, USA.

Aug 2021 – Dec 2022

Bachelor of Technology in Information Technology

Andhra University — Visakhapatnam, India

Aug 2016 – May 2020



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