Varun Aila

• Developing and integrating AI models into Windows inbox applications, enhancing user experience and functionality. • Contributing to the full-stack development of reliable Windows applications, ensuring high performance and stability. • Implementing new features that improve application usability and engagement, aligning with Microsoft’s innovation goals.

Full Stack Development & Architecture • Architected 10+ customer-specific features using C#/.NET, WPF, C++, and XML, deploying across 500+ retail locations through cross-functional collaboration and stakeholder requirement analysis • Migrated NGUI architecture from MVC to MVVM using C# and XAML, improving code maintainability by 40%, resolving legacy issues, and enabling support for updated client specifications • Enhanced Transaction Broker middleware with XML parsing and multi-service communication, reaching 99.8% reliability across 25K+ daily transactions between NGUI, Application Core (C++), and R10 Server Code Quality & Testing Excellence • Established code review standards and peer mentoring protocols, achieving a 90% first-pass acceptance rate while ensuring enterprise coding standards adherence and SOLID principles • Created NUnit testing suite with 85% coverage and TeamCity regression automation, cutting post-deployment defects by 55% across Windows systems • Integrated CI/CD automation into deployment pipelines, streamlining release processes while maintaining security, privacy, and accessibility compliance Production Operations & Performance • Maintained 99.7% system uptime during peak seasons through proactive monitoring and telemetry, consistently meeting 4-hour SLA commitments with automated incident response • Enhanced application speed using Visual Studio debugger and dotTrace profiler, boosting response times by 15% through SQL query tuning and memory leak fixes • Served as Designated Responsible Individual (DRI) supporting customer support team for a client operation (150+ stores), resolving 95% of issues on first contact across self-checkout hardware, software, and network infrastructure Stakeholder Collaboration & Requirements • Led requirements workshops with product managers, SMEs, and store directors across 8 international markets, capturing 95% of functional needs

Collaborated on Retail Self-Checkout system, gaining expertise in C# and Dotnet.

• Engineered scalable React.js frontend with Python Flask microservices deployed on Linux servers using multithreaded ThreadPoolExecutor, implementing advanced caching and graph algorithms to achieve 35% performance improvement and 25% database query latency reduction for 500MB+ datasets