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

 

 

 

Piyush Kumar Garg | Computer Science | Best Researcher Award

Mr. Piyush Kumar Garg | Computer Science | Best Researcher Award

PhD of Indian Institute of Technology, Patna, India.

Piyush Kumar Garg is a fifth-year PhD candidate in Computer Science and Engineering at the Indian Institute of Technology Patna, India, under the supervision of Dr. Sourav Kumar Dandapat. He is an active member of the Data Analytics & Network Science (DANeS) Lab, focusing on Disaster Tweet Summarization, Social Network Analysis, and Natural Language Processing. With a Master’s degree in Computer Science and Engineering from the Indian Institute of Technology Dhanbad and a Bachelor’s degree in Information Technology from Maharana Pratap University of Agriculture and Technology, Piyush brings a strong academic background to his research. He is recognized for his motivated and goal-oriented approach, alongside his proficiency in organizing events and his strong problem-solving skills. Piyush has garnered honors for his contributions to research and volunteering initiatives, showcasing his dedication to academia and community service.

Professional Profiles:

Education

Mr. Piyush Kumar Garg has dedicated himself to advancing his expertise in computer science and engineering through rigorous academic pursuits. He commenced his educational journey with a Bachelor of Technology in Information Technology from Maharana Pratap University of Agriculture and Technology College of Technology and Engineering in Udaipur, Rajasthan, India, where he laid the groundwork for his career in technology. Building upon this foundation, he pursued a Master of Technology in Computer Science and Engineering at the esteemed Indian Institute of Technology Dhanbad, Jharkhand, India, further honing his skills and knowledge in the field. Currently, he is engaged in doctoral research at the Indian Institute of Technology Patna, Bihar, India, where he is pursuing a PhD in Computer Science and Engineering. His academic pursuits have equipped him with a comprehensive understanding of computer science principles and methodologies, empowering him to contribute meaningfully to the field. Through his dedication and commitment to learning, Mr. Piyush Kumar Garg continues to excel in his academic endeavors, poised to make significant contributions to the realm of computer science and engineering.

Professional Experience

Mr. Piyush Kumar Garg, currently pursuing a PhD in Computer Science and Engineering at the Indian Institute of Technology Patna, has a diverse academic background and rich professional experience. With internships in web development at Vidhya Hitech Software Solution and ongoing research at IIT Patna, he demonstrates versatility and practical expertise. Under the guidance of Dr. Sourav Kumar Dandapat, his research focuses on Disaster Tweet Summarization, Social Network Analysis, and Natural Language Processing, showcasing his commitment to cutting-edge technology and its applications. Beyond academia, Mr. Garg actively engages in volunteer work with Street Cause and NSS, highlighting his dedication to social responsibility. With leadership roles in project management and event organization, coupled with his strong problem-solving skills and motivation to learn, Mr. Piyush Kumar Garg embodies a well-rounded professional poised for impactful contributions in the field of computer science.

Research Interest

Mr. Piyush Kumar Garg’s research interests span several areas within computer science and engineering. His primary focus lies in Disaster Tweet Summarization, aiming to develop efficient algorithms and techniques for extracting key information from tweets during crisis situations. Additionally, he is deeply engaged in Social Network Analysis, exploring patterns and structures within social networks to understand information dissemination and influence dynamics. Natural Language Processing forms another crucial aspect of his research, where he investigates techniques to analyze and understand human language data. Furthermore, his interests extend to Information Retrieval, Crisis Management, and Dialog Systems, reflecting a comprehensive approach to addressing contemporary challenges in technology and society. Through his diverse research interests, Mr. Garg seeks to contribute meaningfully to the advancement of knowledge and the development of practical solutions in these domains.

Award and Honors

Mr. Piyush Kumar Garg has garnered recognition for his academic and extracurricular achievements throughout his career. He has received prestigious awards such as academic scholarships, research grants, and accolades for his contributions to various initiatives. Additionally, his exceptional performance in academic settings has earned him distinctions and honors from esteemed institutions. Notably, his dedication to volunteer work and community service has been acknowledged through commendations and certificates of appreciation. Furthermore, his active involvement in organizing events and leading initiatives within academic and social spheres has been recognized by his peers and mentors. These awards and honors underscore Mr. Garg’s commitment to excellence and his significant impact in both academic and community contexts.

Research Skills

Mr. Piyush Kumar Garg possesses a diverse skill set tailored for advanced research in computer science and engineering. Proficient in various programming languages such as Python, Java, and C++, he demonstrates adeptness in algorithm design and implementation. His expertise extends to natural language processing techniques, data analytics, and network science methodologies. Additionally, he is skilled in utilizing machine learning and deep learning frameworks for complex data analysis tasks. With a strong foundation in statistical analysis and experimental design, Mr. Garg can effectively conduct research experiments and interpret results. Moreover, his ability to collaborate within multidisciplinary teams enhances his research capabilities, fostering innovative solutions to contemporary challenges in disaster tweet summarization, social network analysis, and information retrieval.

Publications

  1. IKDSumm: Incorporating key-phrases into BERT for extractive disaster tweet summarization
    • Journal: Computer Speech & Language
    • Year: 2024-08
    • DOI: 10.1016/j.csl.2024.101649
  2. OntoDSumm: Ontology-Based Tweet Summarization for Disaster Events
    • Journal: IEEE Transactions on Computational Social Systems
    • Year: 2023-04
    • DOI: 10.1109/tcss.2023.3266025
  3. EnDSUM: Entropy and Diversity based Disaster Tweet Summarization
    • Conference: Proceedings of Text2Story — Fifth Workshop on Narrative Extraction From Texts held in conjunction with the 44th European Conference on Information Retrieval (ECIR 2022)
    • Year: 2022-04-10
  4. SB-PSO based Secure Moving Average Time-based Fuzzy Resource Provisioning Approach (SBPSO-MATFRPA) with RSA
    • Journal: International Journal of Computer Applications
    • Year: 2018-04-17
    • DOI: 10.5120/ijca2018916824