• Architected and developed applications for medical device manufacturing such as Catheter Reflow System and Industrial Hotbox.• Reduced development time by 60% by developing a cross-platform base to build applications for Windows, and embedded Linux (ARM-64 SBC) using Node.js, Electron.js, TypeScript, React, Redux, TailwindCSS, SQLite and Vite.• Built hardware peripherals configurator which improved system interoperability and reduced setup time by 90%. • Integrated temperature and airflow controller, motorized linear and rotary stages using protocols like Modbus RTU and Serial ASCII.• Designed best-in-class clean and modern GUI/HMI for industrial touch panels, improving user satisfaction.• Built a real-time chart dashboard for process monitoring.• Added alarm support for temperature or airflow deviations, enhancing safety and industry compliance.• Established a CI/CD pipeline with Github actions for distributable Linux debian package.

• Developed a desktop application to detect manufacturing defects in medical devices, including catheters and guidewires.• Leveraged WPF with the MVVM pattern, along with C#, XAML, and SQLite for application development.• Developed a supervised deep learning model using Python and YOLO for real-time frame analysis, achieving a 95% accuracy rate in defect detection.• For unbalanced datasets with scarce anomalous samples, implemented unsupervised machine learning models such as PaDiM and PatchCore.• Integrated peripherals, like industrial machine vision cameras and motorized linear and rotary stages.

• Developed a decentralized web application for DeFi revenue sharing infrastructure.• Technology stack includes Node.js, Next.js, JavaScript, Solidity, Hardhat, Ethers.js, React, TailwindCSS, and Ant UI.• Utilized GraphQL and Apollo to query on-chain data.• Created a custom Gnosis Safe module and guards to implement business rules for a multi-sig wallet.• Wrote unit and integration tests for smart contracts using Mocha, Chai, and Waffle.

• Designed and developed critical modules for the Manufacturing Execution System used in 50+ plants worldwide with C#, ASP.NET MVC, JavaScript, Ext.Net, and SQL Server.• Created an admin portal for Direct Store Delivery (DSD) team using .Net MVC, Web API, and Azure SQL.• Designed and built tablet app for DSD field sales rep using UWP, C#, SQLite, Web API, and Azure SQL.• Implemented token-based security using Azure AD, OpenId connect, and Microsoft Graph API.• Developed an application framework component to standardize conventions and infrastructure capabilities.• Implemented an automated build and deployment pipeline using Jenkins with Groovy script.

• Helped SITA solve the multi-merchant payment problem the airline industry faces at the airport while using a shared IT infrastructure. Over 350 airlines use this solution at 460+ airports.• Implemented library to build and parse command for HSM (Hardware Security Module) using C#.• Designed WCF service which provides the DUKPT PIN translation and health check operations via API.• Designed and implemented XSLT to transform payment transaction messages between a payment gateway and airline Applications.

• Developed a Prosecution application using ASP.Net MVC, SQL Server, Telerik UI with Razor view engine.• Built a dashboard that allows performing various citation-related actions from a single consolidated view.• Designed the letter manager module of the application using C# and iTextSharp, which processes the license to be revoked, generates letters, and sends them to the print shop.

• Developed enrollments module for offline client using WPF and MVVM Prism Architecture.• Created WCF web service to sync local SQL CE 3.4 data from offline application to the server.• Developed enhancements and features for Approval Screen module using C#, ASP.NET, MS SQL Server 2008, JavaScript, HTML5 and jQuery.• Created Data Access Layer using Repository pattern, enterprise library data Access block and LINQ.• Built a DTSX package for the ETL process to extract membership and sales information from various data sources and load it into a reporting database using SSIS for dashboard reporting.