Anish Ravindra Aralikatti
A passionate technology professional, he works at the intersection of artificial intelligence, automation and data science. As a Software Engineer at Cisco, he builds intelligent systems that help to predict, diagnose and resolve network issues faster. With a strong foundation in AI and computer science, he leads projects that transform cutting-edge research into practical solutions that solve real-world business problems with measurable impact. His work focuses on leveraging AI to simplify complex operations, drive data-backed decision-making and make enterprise networks more resilient and efficient. Beyond the technical domain, he is equally interested in how technology strategy, leadership and design thinking can shape the future growth of organisations.
Work Experience:
5 Years
Industry:
Function:
Cisco
- Currently working with Cisco where he contributes to developing AIdriven and datacentric automation solutions that support some of the worlds largest service provider customers His work focuses on analysing large volumes of network and telemetry data to identify performance patterns anticipate potential issues and enhance operational visibility across distributed systems He designs and implements scalable intelligent systems that transform the raw network data into actionable insights By embedding AI machine learning and automation into the core of network operations he helps network customers reduce downtime optimise performance and make proactive databacked decisions that improve customer experience and operational efficiency
- He also collaborates with Cisco Research exploring the next generation of AI applications in network intelligence and video analytics His interests lie in building adaptive and trustworthy AI systems that bridge human understanding with datadriven automation He is particularly passionate about how advanced AI techniques such as multimodal and selfsupervised learning can redefine operational intelligence making systems more predictive autonomous and contextaware