Umair Shehzad

As a Senior .NET Full Stack Engineer on the AI-powered, multi-tenant warehouse management system Magic WMS, I led the design and development of scalable enterprise solutions leveraging Blazor Server, Telerik UI, and .NET Web API within a Clean Architecture framework. I played a key role in building a robust, multi-tenant infrastructure supporting seamless integrations with major 3PL providers, e-commerce platforms (Shopify, WooCommerce), shipping carriers (FedEx, USPS, DHL), and accounting systems (QuickBooks, Xero). I also led the integration of Azure Bot Services and GPT-powered conversational AI, enabling warehouse teams to interact with the system using natural language, reducing support dependency by 40%.

I architected secure, scalable cloud-native services using Azure, implemented CI/CD pipelines, and optimized APIs for high throughput and performance. My efforts contributed to reducing the order-to-invoice cycle time by 60% through real-time automation and improving system performance by 30–50% across critical workflows. I also mentored junior developers, enforced best practices through code reviews, and ensured compliance with SOC 2 and GDPR standards through strong RBAC and data isolation strategies. This work enabled Magic WMS to grow from 3 to 15+ enterprise clients, significantly accelerating product adoption and operational efficiency.

As a Senior .NET Full Stack Engineer on PPCLeadstoDeal, an AI-powered for real estate investors, I led the architecture and development of scalable features using Blazor Server, .NET Web API, and SQL Server within a Clean Architecture framework. I implemented multi-tenant data isolation, dynamic UI components using Syncfusion, and robust backend services that power lead intake, deal analysis, and investor workflows. I integrated payment solutions including Stripe and PayPal, enabling secure, flexible billing and subscription management. Leveraging Azure Bot Service and GPT, I developed conversational AI tools to automate lead qualification and smart deal recommendations, significantly boosting conversion rates. I also owned the CI/CD pipeline setup in Azure, optimized database performance, and enforced secure, scalable DevOps practices. My work contributed directly to launching and scaling the platform to support multiple REI businesses with real-time analytics, AI-driven insights, and enterprise-grade reliability.

As a .NET Full Stack Engineer, I led the end-to-end development of a scalable, AI-powered multi-tenant ecommerce platform, integrating Stripe and PayPal for secure, multi-currency transactions. On the frontend, I built responsive, accessible UIs using React, Next.js, and Material UI. On the backend, I designed robust APIs using .NET Web API and SQL Server, following Clean Architecture, SOLID principles, and key design patterns for maintainability and performance. I architected and implemented a multi-tenant structure with dynamic data isolation and custom configurations per tenant. Integrated Azure Bot Service with GPT models to deliver intelligent, conversational AI for customer support and product recommendations. Deployed and managed services on Azure (App Services, SQL Azure, Blob Storage), built CI/CD pipelines, and enforced secure, high-performance coding practices. Achievements include launching an AI chatbot that automated 60% of support queries, improving API performance by 40%, reducing time-to-market by 30% through reusable architecture, and passing security audits with zero critical issues.

As a .NET Engineer on a cloud-based FinTech platform, I led the design and development of robust backend services using .NET Web API, SQL Server, and Azure, following Clean Architecture and SOLID principles. I successfully integrated multiple payment gateways including Stripe and PayPal, enabling seamless support for one-time and recurring transactions, refunds, and real-time webhook processing. I also built secure, automated connectors for finance and accounting systems like QuickBooks and Xero, streamlining invoice syncing, transaction tracking, and reconciliation. Leveraging Azure Bot Service and OpenAI GPT models, I developed an AI-powered financial assistant that handled customer queries, sent smart invoice reminders, and summarized account data conversationally. On the DevOps side, I implemented CI/CD pipelines with Azure DevOps and managed deployments via Azure App Services and Functions. My contributions led to a 22% increase in payment conversion, a 40% reduction in manual accounting tasks, and a 50% decrease in Tier-1 support load through AI automation—all while maintaining enterprise-grade performance, security, and compliance.