As a PhD Candidate specializing in AI and Embedded Systems, I am combining over a 8 Years of academic expertise in networking, AI, and cloud computing with a strong foundation in Cisco-certified networking and a new focus on DevOps and cloud architecture. Over the past 8+ years in academia, I have refined my skills in developing real-time AI solutions for edge devices, while also teaching and implementing Cisco networking systems and administration at Havilah Digital Center alongside my academic role.My journey includes:Pursuing a PhD focused on designing and deploying AI systems for real-time applications on edge devices.8 years of teaching Cisco networking modules, with a solid foundation as a Cisco Certified Network Associate (CCNA). This includes hands-on instruction in routing, switching, network security, and troubleshooting.Implementing and managing Cisco networking systems at Havilah Digital Center, applying practical network administration skills to real-world setups.Transitioning into cloud computing with hands-on experience in AWS, Azure, and Kubernetes through advanced projects involving multicloud architectures.Proficiency in DevOps practices, including CI/CD automation with AWS CodePipeline, Terraform, and Jenkins, enabling me to streamline application deployment.I am passionate about applying my academic research in AI and machine learning to real-world problems, leveraging cloud infrastructure to build scalable, efficient systems. Currently working toward AWS Solutions Architect and Azure Solutions Architect certifications, I am excited to merge AI and cloud technologies in future roles.