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Architecting the Modern Network : Scalable and Secure Solutions for Today’s Enterprises

Sunil Jorepalli is an accomplished Senior Network Engineer with over 14 years of experience in designing, implementing, and managing large-scale network systems. His expertise covers network architecture, routing and switching, security protocols, and cloud networking technologies, making him a key contributor to high-profile projects. Known for his results-driven approach, Sunil consistently delivers reliable, secure network infrastructures that meet modern business demands. Currently, Sunil holds the position of Lead Infrastructure Engineer at JPMorgan Chase. In this role, he is responsible for designing and maintaining the bank’s network infrastructure, including LAN, WAN, and data centers. Sunil ensures the network remains efficient, secure, and scalable by leveraging advanced technologies to enhance performance and protect critical systems. His proficiency with firewalls like Palo Alto, Fortinet, and Juniper SRX enables him to implement robust network security measures and advanced threat prevention, crucial to the bank’s operations. In addition to his expertise in traditional networking, Sunil excels in cloud networking, SDN particularly in designing and implementing secure solutions using AWS and Azure. His experience includes integrating on-premises environments with cloud platforms through VPN, Direct Connect, and ExpressRoute, ensuring seamless connectivity and improved application delivery. Sunil’s deep knowledge of Azure networking components—such as Virtual Networks, Load Balancers, and Traffic viii | P a g e Xoffencer international Book Publication House Managers—allows him to create secure, scalable cloud infrastructures that support organizational growth and efficiency. A core strength of Sunil’s technical capabilities lies in configuring and managing Cisco Nexus switches and deploying Spine and Leaf Fabric architectures for data centers. His experience with F5 load balancers and Riverbed WAN optimizers has improved network performance, reduced latency, and ensured high availability for distributed applications. Additionally, Sunil is proficient in SD-WAN technologies like Cisco Viptela and VMware SD-WAN, helping organizations reduce costs and optimize performance through software-defined networking principles. Sunil is also a strong advocate of network automation. He regularly uses tools like Tufin, Gluware, Net Brain, and DNAC to streamline operations and improve network management efficiency. His expertise in scripting with Python, Terraform, and Ansible has enabled him to reduce manual tasks, increase operational efficiency, and ensure more reliable network performance. Sunil’s focus on automation has significantly enhanced the scalability and flexibility of the networks he manages. Before his current role at JPMorgan Chase, Sunil held senior engineering positions at leading organizations like Infinite Computer Solutions, Mphasis Corporation, and Oracle India. During his tenure at Mphasis, he played a pivotal role in managing the network infrastructure for First Republic Bank. His ability to scale operations and improve security was highly regarded, as he managed complex, high-pressure projects with ease. This experience solidified his reputation as a trusted leader in network design and management. At Oracle India, Sunil worked as a Senior IT Security Analyst, focusing on implementing robust security solutions to protect the company’s critical data. His work on firewalls, VPNs, and NAT configurations contributed significantly to enhancing Oracle’s security posture. His expertise in threat prevention and user-based policies provided a strong foundation for his later work in more complex network environments. Sunil holds a Bachelor’s degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University. He has earned multiple certifications, including Palo Alto Certified Network Security Engineer (PCNSE), Aviatrix Certified Engineer, and AWS Advanced Networking Specialty. These certifications reflect his commitment to continuous learning and staying current with the latest developments in networking technologies.

Description

Numerous sectors have been revolutionized machine learning (ML), which has made it possible to make decisions based on data and to automate processes. This book examines the whole machine learning pipeline, beginning with theoretical underpinnings and ending with implementation in the actual world. In this section, we discuss fundamental algorithms, methodologies for training models, assessment methods, and optimization strategies. There includes a comprehensive discussion on practical elements such as the preparation of data, the engineering of features, and the monitoring of hyperparameters. In addition, we examine the problems that pertain to the deployment of machine learning models, which include scalability, interpretability, and ethical considerations. Readers will be equipped with the abilities necessary to construct, assess, and deploy solid machine learning solutions in a variety of domains by reading this book, which bridges the gap between theory and actual application.

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