During my internship with Whirlpool Corporation, I developed and optimized Artificial Neural Network models in PyTorch to enhance fabric-type detection accuracy in dryer systems by over 75% compared to previous algorithms. I conducted detailed model size vs. performance trade-off analyses to determine the most efficient neural network architecture for real-time deployment. This experience strengthened my expertise in feature engineering, model optimization, and applied AI, giving me hands-on exposure to integrating data-driven solutions within large-scale IoT products.

At KinetixSolutions, I designed, developed, and maintained client-facing web applications using the .NET ASP MVC framework. I collaborated closely with cross-functional teams to deliver three major feature enhancements, ensuring seamless performance and improved user experience for active clients. I also participated in code reviews to improve code quality, streamline project workflows, and enforce best practices in version control. Through this role, I honed my skills in front-end development, MVC architecture, and agile teamwork, gaining a strong foundation for building scalable, production-ready web applications.