Mr. Shishir Tewari | AI/ML | Corporate Leadership Excellence Award-7820

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Mr. Shishir Tewari | AI/ML | Corporate Leadership Excellence Award

Mr. Shishir Tewari | Computer Science – Senior Manager at Procore Technologies, United States

Shishir Tewari is a distinguished technology leader and Senior Engineering Manager, renowned for his pioneering work in data engineering, AI/ML, and business intelligence systems. With a professional journey spanning nearly two decades, he has made significant contributions to building robust data platforms, streamlining enterprise analytics, and mentoring high-performing engineering teams across some of the world’s top tech firms including Google, Amazon, and Procore Technologies. His forward-thinking approach to intelligent data infrastructure, combined with his proficiency in cloud ecosystems and scalable processing frameworks, has set new benchmarks in operational excellence and digital innovation. Tewari stands out as a forward-thinking engineer and strategic visionary who continuously transforms data into actionable intelligence.

✅🧑‍💼 Professional Profile Verified

Google Scholar

🎓 Education

Tewari’s strong academic foundation has enabled his seamless navigation through complex data and technology landscapes. He earned his Bachelor of Technology degree in Information Technology from U.P.T.U., India (2002–2006), graduating with a commendable performance. To further specialize in the burgeoning field of analytics, he pursued a Data Science and Analytics specialization at Rutgers University, New Jersey (2018–2019). This academic combination has empowered him to integrate advanced analytical methodologies with practical problem-solving in enterprise settings, giving him a competitive edge in today’s data-centric economy.

💼 Experience

With more than 19 years of hands-on experience, Shishir Tewari has held progressively senior roles at globally respected organizations. At Procore Technologies, where he currently serves as Senior Manager, Data Engineering, he led the development of a next-gen Master Data Management and Marketing Analytics platform enriched by AI/ML, enhancing organizational data consistency and insight. Previously at Google, he managed a global team and optimized financial data processing pipelines across Google Finance, handling 100+ petabytes on GCP. His role at Amazon involved constructing large-scale advertising data infrastructure in AWS, directly supporting over $100M in revenue. During his earlier years at Morgan Stanley, JP Morgan Chase, Panasonic, and Tata Consultancy Services, Tewari built scalable ETL pipelines, optimized legacy systems, and created advanced business intelligence frameworks. Each of these roles reflects his unwavering commitment to excellence in data operations, architecture, and leadership.

🔬 Research Interest

Tewari’s research interests lie at the intersection of data engineering, artificial intelligence, and automation. He is particularly passionate about leveraging machine learning to optimize data quality, processing, and decision-making at enterprise scale. His work focuses on improving the performance of large-scale distributed systems, integrating data governance frameworks, and implementing real-time analytics. He is equally invested in enhancing business intelligence solutions through AI-driven innovation, and his hands-on experience with platforms like AWS, GCP, and Databricks has empowered him to experiment with scalable applications of AI in modern enterprises.

🏆 Awards

Shishir Tewari’s groundbreaking work has been recognized globally through several prestigious awards. He received the 2025 Global Leader Award for Excellence in AI/ML-Driven Data Engineering, honoring his transformative contributions to intelligent automation. In 2024, he was the recipient of the ISTRA International Outstanding Technical/Digital Innovation Award for his role in driving technical innovation in AI and Data Engineering. He also earned the 2025 TITAN Business Awards – Gold Winner title in the Artificial Intelligence category for his strategic leadership and engineering excellence. Further recognition came with his inclusion in the Marquis Who’s Who Biographical Listee, highlighting his impact on global technological advancement.

📚 Publications

Tewari has made valuable scholarly contributions to the AI and data engineering community through multiple publications that reflect his expertise and thought leadership. His book, “AI-Driven Enterprise: Scaling Business Success” (2024), offers insightful frameworks for integrating AI into business operations and is available on Amazon. He has authored/co-authored 7 peer-reviewed articles, collectively cited 30 times, underscoring his influence in the academic domain. Selected key publications include:

  • “AI-Driven Master Data Governance for Enterprise Systems” 📘 (2023, Journal of Data Science), cited by 6
  • “Optimizing Cloud Data Warehouses Using ML Models” ☁️ (2023, Big Data Research), cited by 5
  • “Real-Time Analytics in Distributed Finance Systems” 💹 (2022, Financial Computing Review), cited by 4
  • “AI-Powered Marketing Insights Platform: A Scalable Framework” 📊 (2021, International Journal of AI and Data), cited by 6
  • “Data Lakehouse Implementation and Business Impact” 🌊 (2021, Information Systems Journal), cited by 3
  • “Ethical AI in Data Engineering” 🧠 (2020, Journal of Ethics in Technology), cited by 4
  • “Performance Engineering for ETL Pipelines Using Spark” 🔥 (2019, Data Engineering Review), cited by 2

These publications reflect his practical insight into enterprise data systems and his commitment to bridging theoretical research with real-world engineering applications.

✅ Conclusion

In conclusion, Shishir Tewari exemplifies excellence in data engineering, AI/ML innovation, and digital transformation leadership. His visionary mindset, technical expertise, and consistent delivery of impactful solutions have earned him a well-respected place among global leaders in technology. Whether architecting petabyte-scale infrastructures, mentoring next-generation engineers, or judging international innovation awards, Tewari’s work consistently elevates the standards of modern enterprise engineering. Through his continued research, leadership, and commitment to excellence, he remains a driving force in shaping the future of AI-powered data ecosystems.

Perepi Rajarajeswari | Computer science | Best Researcher Award

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Dr. Perepi Rajarajeswari | Computer science | Best Researcher Award

Associate professor at Vellore Institute of Technology, India

Dr. Perepi Rajarajeswari, an accomplished academician and researcher, holds an impressive academic background, with a PhD in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad. She is currently an Associate Professor in the Department of Software Systems, School of Computer Science and Engineering at Vellore Institute of Technology (VIT), Tamil Nadu. With vast teaching experience in diverse computer science disciplines, Dr. Rajarajeswari has made notable contributions to fields like Blockchain technology, Software Engineering, Data Mining, Artificial Intelligence, and Internet of Things, among others. Over the years, she has garnered respect for her knowledge and expertise in both teaching and research.

Profile:

Google scholar

Education:

Dr. Rajarajeswari’s academic journey began with a Bachelor’s degree (B.Tech) in Computer Science from Sri Venkateswara University, Tirupati, in 2000. She then completed her Master of Technology (M.Tech) in Computer Science at Jawaharlal Nehru Technological University, Hyderabad, in 2008. Dr. Rajarajeswari earned her Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2017. Her educational background has equipped her with a solid foundation in the ever-evolving field of computer science.

Experience:

Dr. Rajarajeswari has a distinguished career as an educator and researcher. She began her career as a lecturer at Madanapalle Institute of Technology and Science in 2000. Over the years, she has progressively advanced in academia. From Assistant Professor to Associate Professor, she has worked at various reputed institutions, including Madanapalle Institute of Technology and Science, Aditya College of Engineering, Kingston Engineering College, and Sreenivasa Institute of Technology and Management Studies. Since 2022, Dr. Rajarajeswari has been serving as an Associate Professor at VIT, contributing significantly to both research and academic development. Her wide-ranging experience in teaching and research has made her a pivotal figure in her academic community.

Research Interests:

Dr. Rajarajeswari’s research interests are multi-disciplinary and encompass cutting-edge areas in computer science and engineering. Her expertise spans Blockchain technology, Software Engineering, Software Architecture, Data Mining, Artificial Intelligence, Cloud Computing, and the Internet of Things. She is particularly passionate about exploring the intersections of these technologies, such as Mobile Cloud Computing and Cyber-Physical Systems, and their real-world applications. Her focus on advanced computational techniques aims to address complex problems in fields such as healthcare, smart systems, and secure architectures.

Awards:

Dr. Rajarajeswari’s work has been recognized by various academic and professional organizations. While specific awards are not detailed, her commitment to excellence in education, research, and innovation has earned her the respect of peers and students alike. Her contributions to sponsored projects and her active participation in research have placed her at the forefront of her field.

Publications:

Dr. Rajarajeswari has authored several influential publications in reputed journals and conferences. Some of her key publications include:

  1. “Thermomagnetic Bioconvection Flow in a Semi trapezoidal Enclosure Filled with a Porous Medium Containing Oxytactic Micro-Organisms: Modeling Hybrid Magnetic Biofuel Cells,” ASME Journal of Heat and Mass Transfer, SCIE Journal, 2025.

  2. “Finite Element Numerical Simulation of Free Convection Heat Transfer in a Square Cavity Containing an Inclined Prismatic Obstacle with Machine Learning Optimization,” Heat Transfer-Wiley, 2025.

  3. “Magneto-convective flow in a differentially heated enclosure containing a non-Darcy porous medium with thermal radiation effects—a Lattice Boltzmann simulation,” Journal of the Korean Physical Society, 2025.

  4. “Deep Learning Techniques for Lung Cancer Recognition,” Engineering, Technology & Applied Science Research, 2024.

  5. “Prediction of Heart Attack Risk and Detection of Sleep Disorders Using Deep Learning Approach,” International Research Journal of Multidisciplinary Scope, 2024.

  6. “Object Oriented Design Approach for the Implementation of Secure Aircraft Management System Based on Machine Learning,” Nanotechnology Perceptions, 2024.

  7. “A Deep Learning Computational Approach for the Classification of COVID-19 Virus,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022.

Her works have been cited by numerous scholars, contributing significantly to advancing research in computational intelligence, data mining, and machine learning.

Conclusion:

Dr. Perepi Rajarajeswari’s academic achievements and research contributions underscore her dedication to advancing the field of Computer Science and Engineering. Her diverse experience, coupled with her deep understanding of contemporary technological issues, places her as a leader in her domain. With a passion for teaching and a commitment to solving real-world problems, Dr. Rajarajeswari continues to inspire students and researchers alike. Through her ongoing work in research and development, she is poised to make further impactful contributions in the fields of AI, Blockchain, Cloud Computing, and more.

Harry Moongela | Computer Science | Young Scientist Award

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Dr. Harry Moongela | Computer Science | Young Scientist Award

Wits University, South Africa

Harry Moongela is a skilled IT professional with a strong background in Information Technology, including teaching, research, and development roles. He currently serves as a Postdoctoral Researcher at the University of Pretoria in South Africa, where he focuses on Artificial Intelligence and Critical Thinking research projects. Fluent in English and with basic knowledge of German, Harry has a rich academic and professional background that spans over a decade in various IT roles, ranging from academic positions to industry-specific consultancy.

Profile

Scopus

Education🎓

Harry holds a PhD in Information Technology from the University of Pretoria (2022), following a Master’s Degree in Information Systems from Rhodes University (2017). His undergraduate studies in Computer Science & Information Technology were completed at the University of Namibia in 2013. Additionally, Harry holds several certifications, including Cisco CCNA and a Certificate in Basic Telkom Network from Huawei University, providing him with a broad technical skill set.

Experience💼

Harry’s professional career began with roles such as a Web Developer and IT Technician. He has since advanced to academic roles, serving as a Lecturer, Course Coordinator, and Researcher at the University of Pretoria. He has also held various IT consultancy and development positions, including at Derivco Pty Ltd and Kanuga Auto Parts SA. Harry has extensive experience in IT teaching, course design, software development, and system administration.

Research Interests🔬

Harry’s research interests lie in the intersection of Artificial Intelligence, Critical Thinking, and Information Technology. His work includes publishing academic research in AI applications, computer networks, and the integration of innovative technologies in IT systems. His goal is to continue advancing research in AI to solve real-world problems and improve educational systems in IT.

Awards🏆

Harry has received multiple accolades throughout his academic journey, including being named Best IT Student at the University of Namibia (2010-2013), Best Postgraduate Student at Rhodes University (2017), and being a member of the prestigious Future Africa Futures Literacy Masterclass (2023). These awards reflect his dedication to excellence in both his studies and professional life.

Publications📚

Harry has contributed to various conference and journal publications in the field of Information Technology. Some of his notable works include research on AI in education, network security, and critical thinking in IT systems.
For detailed reading, please refer to the following articles:

A framework for using social media for organisational learning: An empirical study of South African companies”

  • Authors: Moongela, H., Hattingh, M.
  • Journal: African Journal of Science, Technology, Innovation and Development
  • Year: 2024
  • Volume: 16
  • Issue: 6
  • Pages: 761–773
  • Citations: 0

“Healthcare Supply Chain Efficacy as a Mechanism to Contain Pandemic Flare-Ups: A South Africa Case Study”

  • Authors: Maramba, G., Smuts, H., Hattingh, M., Mawela, T., Enakrire, R.
  • Journal: International Journal of Information Systems and Supply Chain Management
  • Year: 2023
  • Volume: 17
  • Issue: 1
  • Article ID: 333713
  • Citations: 3

“Perceptions of social media on students’ academic engagement in tertiary education”

  • Authors: Moongela, H., McNeill, J.
  • Conference: ACM International Conference Proceeding Series
  • Year: 2017
  • Part: F130806
  • Article ID: a23
  • Citations: 2

Conclusion🚀

Harry Moongela’s combination of academic excellence, significant research contributions, leadership in both research and teaching, and dedication to professional development make him an outstanding candidate for the Best Researcher Award. His wide-ranging expertise in information technology and commitment to advancing knowledge through research and teaching solidify his qualifications for this prestigious recognition.