Anmol Aggarwal | Computer Science | Best Researcher Award | 13432

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Mr. Anmol Aggarwal | Computer Science | Best Researcher Award | 13432

Mr. Anmol Aggarwal, Intuit, United States

Anmol Aggarwal is a seasoned product leader and computer science professional with a strong foundation in AI, pricing strategy, and marketplace dynamics. He has delivered high-impact results at companies like Uber and Intuit, while also founding and scaling startups in cloud migration and recruitment tech. Anmol holds an MBA from UC Berkeley Haas and an MS in Computer Science from UC San Diego. His research in neural networks and genetic algorithms has earned him multiple publications and the Best Researcher Award in Computer Science.

Profile

Google Scholar

🎓 Early Academic Pursuits

Anmol Aggarwal’s journey into the world of technology and innovation began with a deep-rooted passion for computer science. He earned his Bachelor of Engineering in Computer Science from Guru Gobind Singh Indraprastha University, where his curiosity for solving complex computational problems flourished. His early academic years were marked by an intensive focus on algorithm design, artificial intelligence, and neural networks, leading to multiple publications in international journals and conferences — a rare achievement at the undergraduate level. He further pursued a Master of Science in Computer Science from the University of California, San Diego, where he honed his expertise in machine learning, distributed systems, and large-scale software engineering. Building on this foundation, Anmol enrolled in the MBA program at UC Berkeley’s Haas School of Business, combining his technical acumen with sharp business instincts. There, he was recognized for his curiosity and commitment to learning, earning the prestigious “Student Always” Award, a distinction given to only one student in the entire cohort.

đź’Ľ Professional Endeavors

Anmol’s professional journey is a blend of deep engineering proficiency and strategic product leadership. Starting his career as a Business Technology Associate at ZS Associates, he quickly moved into more technical roles, including Software Engineer at Adobe where he contributed to enterprise-grade tools.

His most transformative phase came with his tenure at Uber, where he progressed from software engineer to Product Manager and led global initiatives impacting millions of users. His work in Courier Pricing, Eater Pricing, and Marketplace Optimization delivered tangible results — from improving courier retention by 7% to generating a surplus of $200M for reinvestment.

🧠 Contributions and Research Focus

Anmol’s passion for research began early, as demonstrated by seven publications during his undergraduate years. His papers span across diverse applications of neural networks, genetic algorithms, and fuzzy logic, solving real-world problems such as the Traveling Salesman Problem, protein structure prediction, and emotion recognition from speech. His work often explored the intersection of bio-inspired computing and machine learning, a forward-thinking approach that earned him the “Best Researcher Award” in Computer Science. Through these contributions, Anmol helped advance early academic thinking on parallel genetic algorithms and adaptive optimization methods.

🏆 Accolades and Recognition

Anmol’s career is dotted with honors that reflect both his intellectual rigor and leadership qualities:

  • Best Researcher Award – Computer Science

  • “Student Always” Award – UC Berkeley Haas

  • Winner of 6 National and International Case Competitions

  • Leadership roles at Uber and Toastmasters, including Chair of the Rider Pricing Social Committee, managing a $40K annual budget.

His ability to lead teams — whether it’s engineers, business stakeholders, or global executives — has made him a highly regarded figure in both corporate and startup ecosystems.

🌍 Impact and Influence

Anmol’s influence extends beyond large tech companies. He has actively contributed to early-stage startups, such as:

  • Jobshine: Revived a blue-collar job marketplace, led the rebuild with a 6-person engineering team, and boosted revenue by 400%.

  • Hoistr.ai: Co-founded a cloud migration tooling startup, secured partnerships with GCP leaders, and drove early design and fundraising efforts.

Through these ventures, Anmol has played a critical role in identifying market gaps, achieving product-market fit, and accelerating revenue growth in nascent businesses. His mentorship, leadership, and analytical approach continue to influence product managers, engineers, and entrepreneurs alike.

🚀 Legacy and Future Contributions

Looking ahead, Anmol Aggarwal is poised to become a thought leader in AI-powered product management. With his rare combination of technical depth, business insight, and a global mindset, he is well-positioned to drive innovation across fintech, edtech, and marketplaces. His future goals likely include contributing to the broader tech-for-good movement, mentoring aspiring technologists, and continuing to publish insights at the intersection of artificial intelligence, ethics, and human-centered design. Whether scaling startups, innovating within tech giants, or contributing to the next wave of academic research, Anmol’s legacy will be defined by impact at scale, deep intellectual curiosity, and a commitment to uplifting others along the way.

Publication Top Notes

A novel method for medical disease diagnosis using artificial neural networks based on backpropagation algorithm

Author: JS Bhalla, A Aggarwal

Journal:  The Next Generation Information Technology Summit

Year: 2013

Using Adaboost Algorithm along with Artificial neural networks for efficient human emotion recognition from speech

Author: A Aggarwal, JS Bhalla

Journal: International Conference on Control, Automation, Robotics and Embedded

Year: 2013

Prediction of Protein Structure using Parallel Genetic Algorithm

Author: JS Bhalla, A Aggarwal

Journal: International Journal of Computer Applications

Year: 2013

Sai Krishna Reddy Khambam | Cyber Security Engineer | Best Researcher Award

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Mr. Sai Krishna Reddy Khambam | Cyber Security Engineer | Best Researcher Award

lead cybersecurity at AT&T Services Inc , United States.

Sai Krishna Reddy Khambam is a seasoned Lead Cybersecurity Engineer with a robust background in full-stack development and extensive expertise in Agile methodologies, Test-Driven Development (TDD), and CI/CD practices. His career highlights include spearheading cybersecurity initiatives at AT&T SERVICES INC. | FIRSTNET since May 2022, where he ensures secure API development and reliable service accessibility for first responders. Previously, at AMDOCS SERVICES INC., he contributed significantly as a Software Developer for AT&T SERVICES INC. (FIRSTNET), focusing on API development and security enhancements. Sai Krishna holds a Master’s Degree from the University of South Alabama and a Bachelor’s Degree from Anurag Group of Institutions, specializing in Computers & Information Sciences and Information Technology. He is certified as a Senior System Architect (CSSA) and System Architect (CSA), reflecting his commitment to continuous professional development and excellence in cybersecurity engineering.

Professional Profiles:

Education

Sai Krishna Reddy Khambam holds a Master’s Degree in Computers & Information Sciences from the University of South Alabama, which he completed between 2016 and 2018. Prior to that, he earned his Bachelor’s Degree in Information Technology from Anurag Group of Institutions during the period of 2012 to 2016.

Professional Experience

Sai Krishna Reddy Khambam is a seasoned professional with expertise in cybersecurity and software development. Currently serving as a Lead Cybersecurity Engineer at AT&T Services Inc. for FirstNet since May 2022, he spearheads initiatives to ensure secure API development and robust service accessibility for first responders. His accomplishments include implementing the “Uplift” feature to prioritize critical network access during high traffic, enhancing emergency communication reliability, and deploying Identity Lifecycle Management (ILM) strategies to fortify network security. Previously, from January 2020 to May 2022, at Amdocs Services Inc., Sai played a pivotal role as a Software Developer for projects under AT&T SERVICES INC. (FIRSTNET), focusing on API development and security enhancements. He possesses extensive proficiency in Java, Angular, Node, SQL, and Spring frameworks, alongside strong competencies in database management and system architecture. Sai is recognized for his strategic thinking, technical acumen, and dedication to advancing cybersecurity solutions.

🚀 Skills & Expertise

Sai Krishna Reddy Khambam excels in full-stack development, demonstrating proficiency across a wide range of programming languages and frameworks. He has a strong command of Agile methodologies, Test-Driven Development (TDD), and Continuous Integration/Continuous Deployment (CI/CD) practices. His expertise extends to robust analytical abilities and problem-solving skills, particularly in the realms of data architecture and security frameworks.

🏆 Achievements

Sai Krishna Reddy Khambam’s achievements include the development of enterprise-level encryption algorithms and successful migration of microservices to optimize system performance. He has contributed significantly to published research focusing on secure data frameworks and has implemented automation scripts for API testing, enhancing application reliability and efficiency. He is recognized for his outstanding communication skills and effective teamwork, consistently collaborating with cross-functional teams to deliver innovative solutions.

đź”’ Certifications

He is a Certified Senior System Architect (CSSA) with registration number 328062816 and candidate ID PEGA047370. Additionally, Sai holds a Certified System Architect (CSA) certification with registration number 327612061, also under candidate ID PEGA047370. These certifications attest to his expertise and proficiency in system architecture and development methodologies.

 

 

Jaipal Reddy Padamati | Cybersecurity | Best Researcher Award

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Mr. Jaipal Reddy Padamati | Cybersecurity | Best Researcher Award

Sr Software Engineer at Comcast, United States.

Jaipal Reddy Padamati is an accomplished DevSecOps Engineer with over a decade of experience spanning AI, ML, cybersecurity, cloud computing, and DevSecOps automation. Currently serving as a Sr. Cloud / DevSecOps Engineer at COMCAST, he excels in integrating security practices within CI/CD pipelines, deploying AI/ML models for predictive analytics, and architecting hybrid cloud solutions using AWS and Azure. Jaipal’s career highlights include leading cloud migration projects, implementing Docker-based containerization, and designing scalable data pipelines using Kafka, Spark, and Hadoop. His contributions have earned him multiple patents in AI, ML, and cybersecurity, as well as publications in prestigious journals. With a strong research background and expertise in cutting-edge technologies, Jaipal continues to drive innovation in enhancing operational efficiency, security, and reliability across enterprise environments.

Professional Profiles:

Education

Jaipal Reddy Padamati holds a Master’s degree in Computer Science, graduating with a commendable GPA of 3.6 out of 4. His advanced studies have equipped him with a solid foundation in the principles and applications of computer science, paving the way for his successful career in AI, ML, Cybersecurity, Cloud Computing, and DevSecOps. His academic journey has been marked by a dedication to excellence, as evidenced by his rigorous coursework and research endeavors during his graduate studies.

Professional Experience

Jaipal Reddy Padamati is a seasoned DevSecOps Engineer with over 10 years of experience. Currently, he serves as a Sr. Cloud / DevSecOps Engineer at COMCAST in Philadelphia, where he has pioneered the integration of security practices within CI/CD pipelines, developed AI/ML models for predictive analytics, and architected hybrid cloud solutions using AWS and Azure. His efforts have led to significant cost reductions and improved operational efficiency. Previously, he worked as a DevOps Engineer at UBS in Boston, leading cloud migration projects and implementing Docker-based containerization, which significantly enhanced deployment times and application performance. He began his career as a Linux/Unix Administrator at SERCO Solutions in India, managing large-scale environments and automating routine tasks. Jaipal’s innovative contributions have earned him multiple patents in AI, ML, and cybersecurity, along with publications in leading journals, underscoring his expertise and impact in the field.

Awards and Honors 🏆

Jaipal Reddy Padamati has been recognized for his outstanding contributions and achievements in the field of technology and cybersecurity. He has secured multiple patents in AI, ML, and cybersecurity technologies, showcasing his innovative prowess. His research has been extensively published in esteemed journals such as IJIEMR, IJARST, and IJRDST. In addition to his patents and publications, Jaipal actively serves as a reviewer for prominent academic journals, contributing to the academic and professional community. These accolades highlight his dedication to advancing technology and his significant impact on the industry.

Research Interests đź“š

Jaipal Reddy Padamati’s research interests lie at the intersection of AI, ML, Cybersecurity, Cloud Computing, and DevSecOps. He is passionate about integrating advanced AI and ML models into enterprise applications to drive operational efficiency and predictive analytics. His work in cybersecurity focuses on implementing multi-layered security protocols, automated threat detection, and response systems to enhance overall security postures. In the realm of cloud computing, Jaipal is dedicated to architecting scalable and cost-effective solutions using platforms like AWS, Azure, and OpenStack. He is also deeply interested in the automation of DevSecOps pipelines, ensuring seamless integration of security practices from inception to deployment. His commitment to innovation and excellence is evident through his extensive contributions to peer-reviewed journals, patents, and conference presentations. Jaipal’s research continues to push the boundaries of technology, aiming to create secure, efficient, and reliable systems.

Research Skills 🛠️

Jaipal Reddy Padamati possesses a diverse range of research skills essential for cutting-edge technological advancements. He is proficient in developing and deploying advanced AI and ML models, leveraging their capabilities for predictive analytics and operational optimization. His expertise in cybersecurity includes implementing robust security measures such as threat detection systems and automated response mechanisms. Jaipal excels in cloud computing, adeptly designing scalable architectures on platforms like AWS, Azure, and OpenStack, and utilizing Infrastructure as Code (IaC) tools such as Terraform and CloudFormation. He is skilled in containerization technologies like Docker and Kubernetes, enhancing application deployment efficiency. Additionally, Jaipal has a strong command of configuration management tools such as Ansible, Chef, and Puppet, and is experienced in building continuous integration and continuous deployment (CI/CD) pipelines using Jenkins, GitLab, and Maven. His proficiency in these areas underscores his ability to innovate and deliver robust solutions across diverse technological landscapes.

Publications

  1. Beyond the Breach: Building Trust through Integrated Security and Customer Relationship Management
    • Authors: JR Padamati, SR Mallreddy, S Jangampeta
    • Year: 2024
    • Journal: International Journal For Innovative Engineering and Management Research
    • Citations: Not specified in the provided text
  2. System and Method for Real-time Detection of Cyber Security Threats Using a Machine Learning Model
    • Authors: JR Padamati, MMR B, VR A, AG Desetty, SR Pulyala, VD Jangampet
    • Year: 2024
    • Patent: IN Patent 02/2,024
    • Citations: Not specified in the provided text
  3. Unlocking SIEM Potential: Secure, Scalable Cloud Architecture with Artificial Intelligence Machine Learning
    • Authors: LSCN Jaipal Reddy Padamati, Karthik Kumar Sayyaparaju
    • Year: 2023
    • Journal: International Journal For Recent Development In Science And Technology
    • Citations: Not specified in the provided text
  4. Achieving PCI Compliance with CRM Systems
    • Authors: LSC Nunnagupala, SR Mallreddy, JR Padamati
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
    • Citations: Not specified in the provided text
  5. Ensuring Data Privacy with CRM AI: Investigating Customer Data Handling and Privacy Regulations
    • Authors: JR Padamati, KK Sayyaparaju, LSC Nunnaguppala
    • Year: 2022
    • Journal: Res Militaris
    • Citations: Not specified in the provided text
  6. Anomaly Detection for Data Security in SIEM: Identifying Malicious Activity in Security Logs and User Sessions
    • Authors: JR Padamati, SR Mallreddy, S Jangampeta
    • Year: 2021
    • Journal: International Journal For Innovative Engineering and Management Research
    • Citations: Not specified in the provided text
  7. Building Secure AI/ML Pipelines: Cloud Data Engineering for Compliance and Vulnerability Management
    • Authors: JRP Karthik Kumar Sayyaparaju, Laxmi Sarat Chandra Nunnaguppala, JR Padamati
    • Year: 2021
    • Journal: Not specified in the provided text
    • Citations: Not specified in the provided text
  8. Data Security: Safeguarding the Digital Lifeline in an Era of Growing Threats
    • Authors: JR Padamati, SR Mallreddy, S Jangampeta
    • Year: 2021
    • Journal: International Journal For Innovative Engineering and Management Research
    • Citations: Not specified in the provided text
  9. Securing the Cloud: Automating Threat Detection with SIEM, Artificial Intelligence & Machine Learning
    • Authors: LSCN Jaipal Reddy Padamati, Karthik Kumar Sayyaparaju
    • Year: 2021
    • Journal: International Journal for Advanced Research in Science and Technology
    • Citations: Not specified in the provided text

 

 

 

Laxmi Sarat Chandra Nunnaguppala | SIEM CYBERSECURITY | Best Researcher Award

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Mr. Laxmi Sarat Chandra Nunnaguppala | SIEM CYBERSECURITY | Best Researcher Award

Senior Security Engineer at Equifax Inc, United States.

Mr. Laxmi Sarat Chandra Nunnaguppala is a seasoned Senior Security Engineer with over nine years of experience in the field of cybersecurity. He has demonstrated expertise in designing and implementing Security Information and Event Management (SIEM) solutions, optimizing security operations, and ensuring regulatory compliance. Throughout his career, he has successfully delivered SIEM services to a diverse range of clients, including leading organizations across various industries. With a Master’s in Electrical Engineering and a Bachelor’s in Electronics and Communication, Mr. Nunnaguppala’s academic background is complemented by a strong foundation in computer networks, security, data structures, and computer architecture. He is a published author and recognized industry expert, contributing significantly to advancements in security and automation through research, publications, and professional engagements.

Professional Profiles:

Education

Mr. Laxmi Sarat Chandra Nunnaguppala has a solid educational foundation in engineering, specializing in electrical engineering, computer networks, and security, along with electronics and communication. He holds a Master’s degree in Electrical Engineering, where he focused on coursework related to computer networks and security, gaining a deep understanding of network infrastructure, security protocols, and advanced electrical systems. Additionally, he earned a Bachelor’s degree in Electronics and Communication Engineering, studying data structures and computer architecture, and acquiring comprehensive knowledge of electronic systems, signal processing, and the foundational principles of communication technologies. This robust educational background has equipped Mr. Nunnaguppala with the expertise needed to excel in designing and implementing Security Information and Event Management (SIEM) solutions, making significant contributions to the field of cybersecurity.

Professional Experience

Mr. Laxmi Sarat Chandra Nunnaguppala is an accomplished Senior Security Engineer with over 9 years of experience in Security Information and Event Management (SIEM). Throughout his career, he has excelled in designing, implementing, and optimizing SIEM solutions, consistently delivering high-quality services to a diverse range of clients, including industry leaders. Mr. Nunnaguppala’s expertise spans across various sectors, having successfully provided SIEM and cybersecurity solutions to more than 40 organizations. His professional journey is marked by a strong focus on enhancing security operations, ensuring compliance with industry standards, and developing robust security architectures. His role involves not only technical implementation but also strategic planning and communication, leveraging his strong analytical and interpersonal skills to effectively address complex security challenges. With a comprehensive understanding of both the technical and business aspects of cybersecurity, Mr. Nunnaguppala continues to contribute significantly to the field, driving innovation and ensuring the highest standards of security for his clients.

Research Interest

Mr. Laxmi Sarat Chandra Nunnaguppala’s research interests are centered on advancing the fields of Security Information and Event Management (SIEM), automation, and threat hunting. He is particularly focused on integrating artificial intelligence (AI) and machine learning (ML) to enhance threat detection and response capabilities within cloud environments. His work explores the development of scalable, secure cloud architectures that leverage AI and ML for automated threat detection, as well as the intersection of security and automation through data engineering and DevSecOps practices. Additionally, Mr. Nunnaguppala is dedicated to investigating the compliance aspects of cybersecurity, ensuring that solutions not only protect data but also adhere to regulatory standards. His research aims to innovate and optimize security operations, making them more efficient and effective in identifying and mitigating threats in real-time.

Award and Honors

Mr. Laxmi Sarat Chandra Nunnaguppala has garnered numerous awards and honors throughout his distinguished career. He has been recognized for his innovative contributions to SIEM and compliance, notably receiving an award for innovation in these fields. His expertise and impact have led to his role as a judge for the prestigious GLOBEE® Business Awards in Technology and the Golden Bridge Awards. Additionally, Mr. Nunnaguppala has been honored with editorial board memberships at respected journals such as IJIEMR, IJARST, IJRDST, and IJCSITR, reflecting his thought leadership and significant contributions to the field of cybersecurity.

Research Skills

Mr. Laxmi Sarat Chandra Nunnaguppala possesses a diverse range of research skills that underscore his expertise in the field of cybersecurity. His proficiency in designing and implementing Security Information and Event Management (SIEM) solutions has enabled him to deliver high-impact results for over 40 clients, including major industry players. He has a strong background in automating threat detection and enhancing security operations using AI and machine learning. His skills also extend to compliance, particularly with PCI and HIPAA standards, ensuring robust data protection and regulatory adherence. Additionally, his analytical and problem-solving abilities are complemented by his effective communication skills, making him a valuable asset in collaborative research and professional settings.

Publications

  • Unlocking SIEM Potential: Secure, Scalable Cloud Architecture with Artificial Intelligence Machine Learning
    • Authors: JRP Karthik Kumar Sayyaparaju, Laxmi Sarat Chandra Nunnaguppala
    • Year: 2023
    • Journal: International Journal For Recent Development In Science And Technology, Vol. 7 (03)
  • Achieving PCI Compliance with CRM Systems
    • Authors: LSC Nunnaguppala, SR Mallreddy, JR Padamati
    • Year: 2022
    • Journal: Turkish Journal of Computer and Mathematics Education (TURCOMAT), Vol. 13 (1), pp. 529-535
  • Building Secure AI/ML Pipelines: Cloud Data Engineering for Compliance and Vulnerability Management
    • Authors: JRP Karthik Kumar Sayyaparaju, Laxmi Sarat Chandra Nunnaguppala
    • Year: 2021
    • Journal: International Journal For Innovative Engineering and Management Research, Vol. 10
  • Securing the Cloud: Automating Threat Detection with SIEM, Artificial Intelligence & Machine Learning
    • Authors: JRP Laxmi Sarat Chandra Nunnaguppala, Karthik Kumar Sayyaparaju
    • Year: 2021
    • Journal: International Journal For Advanced Research In Science and Technology (IJARST), Vol. 11 (10.48048/IJARST/V11/I03/51), pp. 385-392