I am a Research Scholar passionate about building the future of intelligent and programmable networks. My work focuses on Software-Defined Networking (SDN), In-band Network Telemetry (INT), and P4-based data plane programming. I specialize in designing network architectures where intent-based telemetry adapts to application-specific requirements, reducing overhead and enhancing network visibility. I integrate AI/ML models for real-time flow classification and intelligent telemetry decisions, leveraging tools such as Mininet, BMv2, ONOS, Flask REST APIs, and Google Colab for scalable experimentation. My recent research explores AI-assisted In-Band Telemetry, Application-Intent Networks, and ML-based Flow Classification, combining programmability with intelligent control for next-generation networking systems. Alongside my academic journey, I’m an active contributor to community education through the Edugram Foundation, working to bridge the digital divide in rural areas. ?? Key Skills: SDN • P4 • In-Band Network Telemetry (INT) • ONOS • Mininet • AI/ML for Networking • Flask REST APIs • Network Monitoring