At SATVASOLUTIONS, I develop and maintain enterprise B2B and B2C web applications using C#, ASP.NET Core, .NET, React.js, and SQL Server. I work across backend services, REST APIs, business logic, and browser-based experiences.
On the On Demand Solutions enterprise e-commerce platform, I contributed to configurable product features involving SKU relationships, parent-child structures, and recursive business rules. I also developed integrations with payment gateways and ERP systems.
I investigate application issues and implement reliability and performance improvements, including database optimizations. My work also includes source control and deployment workflows with Git and Azure DevOps.
For my M.Sc. project at Ganpat University, I developed a deep learning pipeline for semiconductor wafer defect analysis, including a ResNet-18 classifier, an LSTM for temporal analysis, and Grad-CAM visual explanations. The project reached approximately 88.3% validation accuracy during experimentation, with FastAPI and Streamlit components to demonstrate predictions.
