Software Engineer at XRadar

Contributed to the development of a native iOS app in SwiftUI using MVVM, implementing MapKit-based location discovery and real-time data visualization features used by thousands of users. Integrated third-party SDKs including OneSignal, Mixpanel, Sentry, Statsig, and Google Sign-In; collaborated with an Express.js backend to design and consume REST APIs supporting analytics, feature flags, notifications, and user identity flows. Implemented authentication, subscriptions, and on-demand paywall flows using Supabase and Superwall, handling session state, entitlement persistence, and edge-case handling across app lifecycle events.

Software Engineer at Unified Brand Experience Labs

Built and deployed full-stack web applications with React and Flask, integrating microservices architecture on AWS (EC2, IoT Core, DynamoDB, Route 53) to power smart retail and vending machine systems. Designed developer-facing RESTful APIs with token-based authentication and product catalog endpoints; implemented MySQL + vector-database sync and reduced product data retrieval time by 35%. Developed and integrated Planogram dashboards with real-time IoT device registration, fixture management, and snapshot versioning for 1,000+ SKUs; engineered IoT communication layer enabling customizable LED display control via web interface.

Software Engineer at Unified Brand Experience Labs

Developed RentPe, across-platform property-management app in React Native, deployed to Play Store and App Store, enabling landlords and tenants to manage rent, agreements, and payments in real time. Led the end-to-end development of dynamic screens for a native iOS application using SwiftUI and Combine, and customized notifications leading to increased user engagement and satisfaction by 27%. Built secure RESTful APIs in Python Flask and deployed on Google App Engine with Datastore and Redis for scalable, low-latency data access and push notifications via OneSignal and Twilio.

Software Engineer Intern at Acuradyne Systems

Developed a Dashboard App utilizing Dash (Python framework), resulting in enhanced data visualization and improved user experience for internal data analysis, and deployed it to Heroku. Designed, coded, tested, and deployed numerous AWS Lambda serverless functions with HTTPS endpoints, achieving peak performance and cost efficiency and reducing computation time by 70%. Created interactive Plotly graphs with annotations and markup, improving data visualization and analysis efficiency by ~55%.