Naresh Babu Kilaru | Computer Science | Best Researcher Award

Mr. Naresh Babu Kilaru | Computer Science | Best Researcher Award

Lead Observability Engineer at LexisNexis, India.

Naresh Kilaru is a skilled Lead Observability Engineer and Technical Architect with over 8 years of experience in the IT industry. His expertise lies in designing and managing scalable, high-performance environments, with a strong focus on observability tools like Splunk Enterprise and Zenoss, as well as cloud platforms such as AWS. Naresh has a proven track record in leveraging AI and machine learning for predictive monitoring, improving system reliability, and leading cost-saving initiatives, including a migration project that saved $6 million in enterprise licensing. His diverse technical skill set includes programming languages like Python and Java, and tools such as Ansible, Terraform, and Grafana. He holds several professional certifications, including Splunk Certified Architect and AWS Certified Solutions Architect. Naresh’s leadership in observability and DevOps operations has made him a key contributor to innovative solutions in business intelligence, security, and cloud infrastructure management.

Profile:

Education

Naresh Kilaru holds a Master of Computer Information Sciences from Southern Arkansas University, which he completed in May 2016. His graduate studies provided him with a strong foundation in advanced programming concepts, database management, and network security, preparing him for his career in IT and observability engineering. Prior to that, he earned a Bachelor of Science from Jawaharlal Nehru Technological University, Kakinada (JNTUK) in India, in April 2013. During his undergraduate years, Naresh gained fundamental knowledge in computer networking, software engineering, and information technology, which laid the groundwork for his technical expertise in cloud platforms, DevOps, and security operations. His academic background, coupled with specialized coursework in software engineering and information security, has equipped him with the skills to excel in designing and implementing high-performance, scalable IT environments. Naresh’s education continues to inform his work as a Lead Observability Engineer and his ongoing professional certifications.

Professional Experience

Naresh Kilaru is a seasoned Lead Observability Engineer with 8 years of experience in the IT industry. Currently at Lexis Nexis, he leads observability and SRE operations, utilizing AI and machine learning for predictive monitoring, and enhancing system reliability. He has a strong track record in managing large-scale projects, including migrating Splunk ITOps to Coralogix, saving the company $6 million. Previously, at Silicon Valley Bank, Naresh served as a Principal Application Architect, where he architected Splunk Enterprise solutions and integrated open-source tools like Grafana. At Esimplicity Inc., he designed observability environments for CMS, ensuring high availability and fault tolerance. His expertise also extends to security operations, having developed advanced dashboards for SOC teams. As a Splunk Developer at Vedicsoft Solutions for IBM, Naresh was responsible for creating dashboards and applications, enhancing operational efficiency. Throughout his career, he has demonstrated a strong focus on innovation, cost-saving, and operational excellence.

Research Interest

Naresh Kilaru’s research interests lie in the fields of observability engineering, DevOps, and AI-driven monitoring solutions. With a strong focus on designing scalable, high-performance environments, Naresh is passionate about improving system reliability and efficiency through the integration of artificial intelligence and machine learning. His expertise in tools like Splunk Enterprise, Zenoss, and AWS cloud platforms fuels his interest in developing innovative solutions for real-time data analysis and predictive monitoring. Naresh is particularly intrigued by the role of automation and advanced observability techniques in enhancing security, business intelligence, and operational excellence across various industries. He is also keen on exploring cloud migration strategies, cost optimization through efficient data management, and the deployment of open-source observability tools. His research efforts aim to drive the future of observability and monitoring, contributing to the seamless integration of AI technologies in the IT landscape.

Research Skills

Naresh Kilaru possesses advanced research skills, particularly in the fields of observability, DevOps, and AI-driven system monitoring. His expertise in leveraging tools like Splunk Enterprise, Zenoss, and AWS demonstrates his ability to integrate cutting-edge technology into scalable, high-performance environments. Naresh excels at using artificial intelligence (AI) and machine learning (ML) to develop predictive monitoring solutions, enhancing system reliability and efficiency. His hands-on experience with complex projects, such as migrating Splunk ITOps to Coralogix and integrating OpenTelemetry for application performance monitoring (APM), showcases his proficiency in problem-solving and innovation. His certifications, including AWS Certified Solutions Architect and Splunk Certified Architect, reflect a solid foundation in both theoretical and practical aspects of technology. Naresh also has strong data analysis and automation skills, using platforms like GitLab, Ansible, and Cribl Stream, further enhancing his research capability in the tech industry.

Award and Recognition

Naresh Kilaru, a highly skilled Lead Observability Engineer, has been recognized for his significant contributions to the IT industry, particularly in observability, DevOps, and cloud computing. His expertise in tools like Splunk Enterprise and Zenoss, along with his leadership in implementing AI-driven solutions, has been instrumental in enhancing system reliability and operational efficiency. One of his standout achievements is the successful migration of Splunk ITOps to Coralogix, resulting in a remarkable $6 million savings in enterprise licensing costs. Naresh’s commitment to excellence is further demonstrated by his numerous certifications, including Splunk Certified Architect and AWS Certified Solutions Architect. His leadership on complex projects and continuous innovation has earned him recognition as a technical visionary. While primarily industry-focused, his achievements in driving cost efficiency and technological advancement position him as a key player in the evolving field of IT infrastructure and observability.

Conclusion

Naresh Kilaru’s practical expertise in observability, DevOps, and AI-driven solutions, alongside his extensive certifications, makes him a strong candidate for recognition in industry-based technological achievements. However, to qualify as a leading contender for a “Best Researcher Award,” he should focus on producing academic or formal research outputs that reflect his technological innovations and cost-saving initiatives. Expanding his presence in academic circles through publications or partnerships would enhance his standing as a researcher.

Publication Top Notes

  1. Title: Cloud Observability in Finance: Monitoring Strategies for Enhanced Security
    Authors: NB Kilaru, SKM Cheemakurthi
    Year: 2023
  2. Title: SOAR Solutions in PCI Compliance: Orchestrating Incident Response for Regulatory Security
    Authors: NB Kilaru, SKMC Vinodh Gunnam
    Journal: ESP Journal of Engineering & Technology Advancements
    Volume: 1
    Issue: 2
    Pages: 78-84
    Year: 2021
  3. Title: Techniques for Feature Engineering to Improve ML Model Accuracy
    Authors: NB Kilaru, SKM Cheemakurthi
    Journal: NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal
    Pages: 194-200
    Year: 2021
  4. Title: Techniques for Feature Engineering to Improve ML Model Accuracy
    Author: SKMC Naresh Babu Kilaru
    Journal: NVEO-NATURAL VOLATILES & ESSENTIAL OILS
    Volume: 8
    Issue: 1
    Page: 226
    Year: 2021
  5. Title: Securing PCI Data: Cloud Security Best Practices and Innovations
    Authors: V Gunnam, NB Kilaru
    Journal: NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal
    Year: 2021
  6. Title: Mitigating Threats in Modern Banking: Threat Modeling and Attack Prevention with AI and Machine Learning
    Authors: SK Manohar, V Gunnam, NB Kilaru
    Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
    ISSN: 3048
    Year: 2021

 

 

 

Ramesh Chandra Aditya Komperla | Prompt Engineering | Best Researcher Award

Mr. Ramesh Chandra Aditya Komperla | Prompt Engineering | Best Researcher Award

Senior Engineer and Geico, United States

Ramesh Chandra Aditya Komperla is a seasoned researcher and Senior Software Engineer with extensive experience in Artificial Intelligence, Machine Learning, and Deep Learning. Currently working at Geico in Chevy Chase, MD, Ramesh has a notable record of innovation, including a patent for ML-based software components in medical diagnostics and multiple influential publications in healthcare and insurance technology. His work spans across major organizations in both the United States and India, reflecting his broad geographic impact. Ramesh’s research focuses on practical applications that enhance operational efficiencies and improve patient care, demonstrating his commitment to solving real-world problems. His collaborative efforts with various high-profile clients and his contributions to advancing technology in healthcare make him a strong candidate for the Best Researcher Award. His work not only advances scientific knowledge but also addresses critical challenges in healthcare and insurance sectors.

Profile

Education

Ramesh Chandra Aditya Komperla holds a Master of Technology (M.Tech) degree in Computer Science from Andhra University, Visakhapatnam, India, which he completed in May 2007. His education at this esteemed institution provided him with a strong foundation in computer science, encompassing critical areas such as algorithms, data structures, and software engineering. This rigorous academic training equipped him with the analytical and technical skills necessary to excel in his field. Andhra University, known for its comprehensive curriculum and emphasis on research and development, played a crucial role in shaping Ramesh’s career path. His advanced studies laid the groundwork for his later research and professional achievements, particularly in the domains of Artificial Intelligence, Machine Learning, and IT Infrastructure. The combination of theoretical knowledge and practical experience gained during his M.Tech program has been instrumental in his contributions to both academic research and industry applications.

Professional Experience

Ramesh Chandra Aditya Komperla has amassed a wealth of experience in the software engineering field, working with several high-profile clients and organizations. Since June 2020, he has been a Senior Software Engineer at Geico in Chevy Chase, MD, where he applies his expertise in AI, machine learning, and IT infrastructure to develop innovative solutions. Prior to this, he worked with the New York Office of Mental Health, enhancing mental health services through advanced technological solutions. From May 2018 to August 2019, he contributed to CareSource in Dayton, Ohio, improving healthcare delivery systems. Ramesh also held multiple roles at Geico from 2016 to 2018, and prior to that, he gained valuable experience at Cigna, United Health Care, Zurich Insurance, and Microsoft in India. His diverse background includes developing and implementing cutting-edge technologies to optimize operations and improve service delivery across various sectors, showcasing his ability to drive innovation and efficiency.

Research Interests

Ramesh Chandra Aditya Komperla’s research interests lie at the intersection of advanced technologies and their practical applications. His primary focus is on Artificial Intelligence, Machine Learning, and Deep Learning, where he explores innovative methods to enhance system efficiency and intelligence. He delves into Computer Architecture to optimize the underlying hardware supporting AI algorithms, ensuring robust and scalable solutions. Additionally, Ramesh is passionate about IT Infrastructure, striving to create resilient and efficient frameworks that support large-scale data processing and analysis. His research extends to the healthcare and insurance sectors, where he applies AI to streamline operations, improve diagnostics, and enhance patient care. Ramesh’s work on AI-enhanced claims processing and fraud detection demonstrates his commitment to leveraging technology for real-world problem-solving. His interdisciplinary approach and focus on practical applications make his research highly relevant and impactful across multiple domains.

Research Skills

Ramesh Chandra Aditya Komperla possesses a robust set of research skills that span various advanced technological domains. His expertise in Artificial Intelligence, Machine Learning, and Deep Learning demonstrates his capability to handle complex algorithms and data-driven methodologies. Ramesh’s proficiency in Computer Architecture and IT Infrastructure further underscores his ability to design and manage sophisticated computing systems. His practical experience is evidenced by his published works, including a patent on ML-based supervising and recovering software components for medical diagnostics instruments, showcasing his innovative approach to solving real-world problems. Additionally, Ramesh excels in applied research, particularly in healthcare and insurance sectors, where his AI-enhanced solutions have streamlined operations and improved diagnostics. His collaborative work with prominent organizations like Geico, United Health Care, and Microsoft highlights his ability to lead and contribute to multi-disciplinary research projects. Overall, Ramesh’s diverse skill set and practical research applications make him a distinguished researcher in his field.

Awards and Recognition

Although specific awards are not mentioned in the provided information, Ramesh’s extensive list of publications in reputable journals and his patent indicate a high level of recognition in his field. His work is innovative and impactful, meeting the criteria for the Best Researcher Award.

Conclusion

Ramesh Chandra Aditya Komperla’s extensive research portfolio, his contributions to AI and healthcare, his collaborative efforts with various organizations, and the practical applications of his work make him a strong candidate for the Best Researcher Award. His research not only advances scientific knowledge but also addresses real-world problems, providing significant benefits to the community and industry.

Publications Top Notes

  1. Advancing Healthcare Outcomes Through Machine Learning Innovations
  2. A Novel Approach to Diabetic Foot Ulcer Prediction: Pedographic Classification Using ELM-PSO
    • Authors: Not specified
    • Type: Conference Paper
    • Conference: 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC)
    • Publication Date: May 2, 2024
    • DOI: 10.1109/iceccc61767.2024.10593926
  3. Revolutionizing Biometrics With AI-Enhanced X-Ray and MRI Analysis
  4. Assessing Real-Time Health Impacts of Outdoor Air Pollution through IoT Integration
    • Authors: Not specified
    • Journal: Engineering, Technology & Applied Science Research
    • Publication Date: April 2, 2024
    • DOI: 10.48084/etasr.6981
  5. The Auto Health Revolution: AI Strategies For Insurance And Healthcare
    • Authors: Not specified
    • Journal: International Neurourology Journal
    • Publication Date: December 30, 2023
    • Citations: 0
  6. Role of Technology in Shaping the Future of Healthcare Professions
    • Authors: Not specified
    • Journal: FMDB Transactions on Sustainable Technoprise Letters
    • Publication Date: December 18, 2023
  7. How Can AI Help in Fraudulent Claim Identification
    • Authors: Not specified
    • Journal: Journal of Research Administration
    • Publication Date: December 11, 2023
  8. Revolutionizing Patient Care with Connected Healthcare Solutions
    • Authors: Not specified
    • Journal: FMDB Transactions on Sustainable Health Science Letters
    • Publication Date: March 12, 2023
  9. Deep Learning Diagnostics: A Revolutionary Approach to Healthcare Insurance
    • Authors: Not specified
    • Journal: International Neurourology Journal
    • Publication Date: December 30, 2022
  10. Artificial Intelligence and the Future of Auto Health Coverage
    • Authors: Not specified
    • Journal: Journal of Research Administration
    • Publication Date: December 28, 2022

 

 

Tech Business Excellence Award

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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Introduction Sustainable Engineering Solutions Award Welcome to the forefront of innovation where engineering meets sustainability. The Sustainable Engineering Solutions Award honors visionaries driving change in the engineering landscape by creating
Introduction Outstanding Contribution to Environmental Science and Technology Award Embark on a journey towards a sustainable future with the Outstanding Contribution to Environmental Science and Technology Award. This accolade celebrates
Introduction Leadership in Healthcare Innovation Award Welcome to the forefront of healthcare transformation! The Leadership in Healthcare Innovation Award recognizes visionaries driving change in the healthcare landscape. This award honors
Introduction Excellence in Aerospace Engineering and Technology Award Embark on a journey of innovation soaring to new heights with the Excellence in Aerospace Engineering and Technology Award. This distinguished accolade
Introduction Digital Transformation in Business and Technology Award Step into the future with the Digital Transformation in Business and Technology Award—an accolade celebrating pioneers who redefine the landscape of business
Introduction Emerging Technologies Breakthrough Award in Health Sciences Step into the future of healthcare with the Emerging Technologies Breakthrough Award in Health Sciences. This prestigious award celebrates pioneers who are