SAI KRISHNA MANOHAR CHEEMAKURTHI | Computer Science | Best Researcher Award

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Mr. Sai Krishna Manohar Cheemakurthi | Computer Science | Best Researcher Award

Sai Krishna Manohar Cheemakurthi, U.S. BANK, United States.

Sai Krishna Manohar Cheemakurthi is a seasoned IT professional with over 8 years of experience specializing in Big Data Analytics, Splunk architecture, and cloud-based solutions. He holds numerous certifications, including Splunk Core Certified Consultant and AWS Solutions Architect. Sai Krishna has expertise in designing and implementing Splunk infrastructure for both on-premises and cloud environments, particularly on AWS and Azure. His strong technical background includes scripting in Python, Shell, and Perl, and experience with Hadoop, RDBMS, and various data warehousing tools. Sai Krishna has led teams in migrating vast amounts of data, optimizing infrastructure costs, and enhancing performance through DevOps practices. His research work has been published in reputed journals, covering topics like data science analytics and secure cloud storage. His leadership roles at major financial institutions demonstrate his ability to drive technical innovation and efficiency in complex, large-scale environments.

Profile:

Education

Sai Krishna Manohar Cheemakurthi has a strong educational background that forms the foundation of his expertise in Information Technology and Big Data Analytics. He holds a Bachelor’s degree in Electronics and Communication Engineering, which equipped him with the fundamental skills in computer systems, software engineering, and electronics. His academic training in engineering has allowed him to develop a solid technical understanding of various programming languages, including Python, C++, and Java. Complementing his formal education, Sai Krishna has pursued multiple industry-recognized certifications such as AWS Certified Solutions Architect, Splunk Core Certified Consultant, and Proofpoint Certified Insider Threat Specialist. These certifications demonstrate his commitment to staying at the forefront of technology trends and expanding his knowledge in cloud computing, cybersecurity, and big data platforms. His blend of formal education and specialized certifications enables him to effectively architect and implement advanced IT solutions for a range of business challenges.

Professional Experiences 

Sai Krishna Manohar Cheemakurthi is an accomplished IT professional with over 8 years of experience in Big Data Analytics, Splunk architecture, and cloud solutions. Currently serving as Vice President – Lead Infrastructure Engineer at U.S. Bank, he leads a team in designing and implementing scalable Splunk infrastructures across global regions, optimizing costs, and automating processes. Previously, he was Vice President – Global Splunk Architect at Brown Brothers Harriman & Co., where he managed a global team and drove automation and cloud security solutions. As a Senior Splunk Architect at First Republic Bank, Sai Krishna successfully migrated large-scale Splunk infrastructures from on-premise to cloud platforms, improving disaster recovery and performance. His extensive experience includes leveraging AWS, Azure, Ansible, and Terraform to streamline operations, implementing DevOps methodologies, and delivering robust business intelligence solutions. Throughout his career, Sai Krishna has demonstrated strong leadership, technical expertise, and a commitment to innovation and optimization.

Awards and Honors

Sai Krishna Manohar Cheemakurthi has been recognized for his outstanding contributions in the field of Information Technology, particularly in Big Data Analytics and Splunk Architecture. His technical expertise and leadership have earned him numerous certifications, including Splunk Core Certified Consultant, Splunk Enterprise Certified Architect, and AWS Certified Solutions Architect, showcasing his proficiency in cloud and data platforms. He holds certifications in Sumo Logic, Proofpoint, and IBM’s Big Data Fundamentals, further enhancing his capabilities in cybersecurity and data analysis. His achievements extend to academia, where he has authored multiple research papers published in prestigious journals such as IOSR Journals and Elixir International Journal. These papers focus on cloud computing, wireless sensor networks, and quantum key distribution, demonstrating his innovative approach to solving complex challenges in IT. Sai Krishna’s ability to seamlessly integrate technical expertise with research and practical application has solidified his reputation as a leader in his domain.

Research Interest

Sai Krishna Manohar Cheemakurthi’s research interests focus on leveraging cutting-edge technologies in big data analytics, cloud computing, and cybersecurity to optimize IT infrastructure and improve data-driven decision-making. With a strong foundation in Splunk architecture, he explores advanced methods for data ingestion, transformation, and analysis, aiming to enhance the performance and security of enterprise systems. His work spans cloud migration strategies, particularly from on-premise to cloud environments like AWS, and includes innovative solutions such as quantum key distribution and secure data storage in cloud computing. Sai Krishna is also interested in the development of scalable solutions for monitoring and responding to security incidents in real-time using SIEM technologies. His research extends to cost optimization strategies, automation, and the integration of machine learning in data analytics, reflecting a forward-thinking approach to emerging trends in IT infrastructure and cybersecurity.

Research Skills

Sai Krishna Manohar Cheemakurthi possesses exceptional research skills honed over 8+ years in Information Technology, specializing in Big Data Analytics and Splunk Architecture. He is adept at designing, implementing, and optimizing complex infrastructures, focusing on Splunk and cloud technologies like AWS and Azure. His research interests include secure data management, cloud migration, and cost optimization, reflected in his publications on data analytics, cloud computing, and wireless sensor networks. Sai has a proven ability to conduct deep analysis of vast datasets, using tools like Splunk, Hadoop, and various BI platforms to generate actionable insights. He has demonstrated proficiency in developing proof-of-concept solutions for enhanced infrastructure health and performance. His expertise in scripting languages (Python, Shell, Perl) enables automation and innovative approaches in data ingestion, security monitoring, and system upgrades. Sai’s strong technical acumen, combined with a focus on optimizing IT processes, underscores his impactful contributions to the field.

Publication Top Notes
  • Cloud Observability In Finance: Monitoring Strategies For Enhanced Security
    • Authors: NB Kilaru, SKM Cheemakurthi
    • Year: 2023
    • Journal: NVEO-Natural Volatiles & Essential Oils
    • Volume/Issue/Page: 10(1), 220-226
  • Mitigating Threats in Modern Banking: Threat Modeling and Attack Prevention with AI and Machine Learning
    • Authors: SK Manohar, V Gunnam, NB Kilaru
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
  • Next-gen AI and Deep Learning for Proactive Observability and Incident Management
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education
    • Volume/Issue/Page: 13(3), 1550-1564
  • Scaling DevOps with Infrastructure as Code in Multi-Cloud Environments
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education
    • Volume/Issue/Page: 13(3), 1189-1200
  • Advanced Anomaly Detection In Banking: Detecting Emerging Threats Using SIEM
    • Authors: NBK Sai Krishna Manohar Cheemakurthi, Vinodh Gunnam
    • Year: 2021
    • Journal: International Journal of Computer Science and Mechatronics (IJCSM)
    • Volume/Issue/Page: 7(04), 28-33
  • Analytics of Data Science using Big Data
    • Authors: CSK Manohar
    • Year: 2013
    • Journal: IOSR Journal of Computer Engineering
    • Volume/Issue/Page: 10(2), 19-21
  • AI-Powered Fraud Detection: Harnessing Advanced Machine Learning Algorithms for Robust Financial Security
    • Authors: SKM Cheemakurthi, NB Kilaru, V Gunnam
    • Year: (Not provided)
  • Deep Learning Models For Fraud Detection In Modernized Banking Systems: Cloud Computing Paradigm
    • Authors: Y Vasa, SKM Cheemakurthi, NB Kilaru
    • Year: (Not provided)
  • SOAR Solutions in PCI Compliance: Orchestrating Incident Response for Regulatory Security
    • Authors: NB Kilaru, SKM Cheemakurthi, V Gunnam
    • Year: (Not provided)
  • AI-Driven SOAR in Finance: Revolutionizing Incident Response and PCI Data Security with Cloud Innovations
    • Authors: V Gunnam, SKM Cheemakurthi, NB Kilaru
    • Year: (Not provided)

 

 

Tech Business Excellence Award

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Introduction Tech Business Excellence Award

Step into the future of technology with the Tech Business Excellence Award—an accolade dedicated to celebrating and recognizing businesses shaping the landscape of innovation, excellence, and technological advancement.

About the Award:

The Tech Business Excellence Award is open to businesses at the forefront of technological innovation. There are no age restrictions, and eligibility extends to businesses demonstrating exceptional excellence in leveraging technology for positive impact.

Qualifications and Publications:

Businesses should showcase a proven track record of leveraging technology to drive excellence, innovation, and positive change. While there are no age limits, qualifications may include a documented history of technological achievements and impactful publications.

Evaluation Criteria:

The evaluation process emphasizes the impact, innovation, and sustainability of technological initiatives. Judges will assess how businesses have utilized technology to achieve excellence, solve complex challenges, and contribute to the advancement of the industry.

Submission Guidelines:

Businesses are encouraged to submit a comprehensive overview, showcasing technological achievements, innovative strategies, and positive outcomes. Submission guidelines ensure a fair and thorough evaluation of each business's technological excellence.

Recognition and Community Impact:

The Tech Business Excellence Award not only honors outstanding businesses but also acknowledges their broader impact on the community and the industry. Winners become industry leaders, inspiring others to achieve excellence through technological innovation.

Biography, Abstract, and Supporting Files:

Craft a compelling overview that narrates your business's journey in leveraging technology for excellence. The abstract should succinctly convey the technological initiatives, while supporting files offer tangible evidence of the impact and success of these initiatives.

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