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.

Vijaya Pothuri | Information Technology | Excellence in Innovation

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Mr. Vijaya Pothuri | Information Technology | Excellence in Innovation

Lead Software Engineer at Salesforce Inc., United States

Vijaya R. Varma Pothuri is an experienced engineering leader with nearly two decades of experience in the software development field. His career showcases an impressive ability to adapt and evolve in the fast-paced, ever-changing world of technology. Specializing in full-stack development, software architecture, and distributed systems, Vijaya has spearheaded projects that revolutionize legacy systems into scalable, modern architectures. His expertise extends across industries, making him a key player in driving innovation. He has held significant leadership roles, leading teams to success in major software companies such as Salesforce, Sears, and Capgemini, where his work has had a lasting impact on various enterprise applications. Through a combination of technical prowess and leadership, Vijaya has made profound contributions to the software engineering landscape.

Profile:

Google Scholar

Education:

Vijaya earned his M.Tech. in Computer Science and Engineering from the prestigious Indian Institute of Technology Bombay, where he developed a strong foundation in advanced computing principles. Prior to that, he completed his B.Tech. in Computer Science and Engineering from Jawaharlal Nehru Technological University Hyderabad. His academic background provided him with critical skills that would later drive his professional achievements. His education laid the groundwork for his innovative approaches to solving complex problems, allowing him to thrive in the competitive field of technology.

Experience:

With over 20 years of experience, Vijaya has held various leadership positions across several global organizations. Currently, he serves as a Lead Software Engineer at Salesforce, where he has led the development of key components in the Unified Marketing App and Pardot’s Machine Learning integration, which are part of the Customer 360 platform. Prior to his tenure at Salesforce, he worked at Sears Holdings, where he led the redesign and expansion of the Sears Inventory Management System. His career also includes a significant period as a Senior Consultant at Capgemini, where he played a critical role in the development of a Service-Oriented Architecture for General Motors. Earlier in his career, Vijaya served as a Technical Lead at Unisys and a Software Engineer at Codem Software Solutions, where he honed his skills in system integration, microservices, and data management.

Research Interests:

Vijaya’s research interests focus on scalable and distributed systems, artificial intelligence, and cybersecurity. He has a passion for designing innovative solutions that leverage AI to address emerging threats in cybersecurity. His work on fraud detection in distributed systems showcases his commitment to using technology to solve complex challenges. Vijaya is also deeply invested in the development of microservices architectures, as evidenced by his publications on resilient and scalable systems. He continues to explore the intersections between AI, machine learning, and large-scale data systems to drive efficiency and innovation in the software engineering field.

Awards:

Throughout his career, Vijaya has received numerous accolades for his contributions to software engineering and leadership. At Salesforce, he was honored with the MVP and Super Star Awards for his role in driving company-wide success and his pivotal contributions to major projects. He has also received multiple recognitions at Sears, including the Super Star Award for Operational Excellence and various recognition awards for his role in improving the company’s e-commerce platform. At Capgemini, he was awarded the Project Star Award in 2009 and 2010 for his outstanding work on system redesigns and client deliveries. His ability to lead projects and innovate at a high level has consistently earned him professional accolades.

Publications:

Vijaya has authored several peer-reviewed papers and articles that reflect his diverse research interests in AI, scalable systems, and cybersecurity. His notable publications include:

  1. AI in Cybersecurity: Balancing innovation with Emerging Threats – RSA Conference (2024)
  2. Scalable and Robust Fraud Detection in Distributed Systems – International Journal of Advanced Research in Science, Communication, and Technology (2024)
    • Cited by 10 articles in the field of distributed computing.
  3. AI and Big Data: Harnessing the Power of Data-Driven Decision Making – International Journal of Advanced Research in Science, Communication, and Technology (2019)
    • Cited by 22 articles in data science.
  4. Natural Language Analysis and Generation in the Framework of Universal Networking Language – International Journal of Innovative Research in Science Engineering and Technology (2012)
    • Cited by 15 articles in NLP and computational linguistics.
  5. Scalable Microservices Architectures: Building Resilient Distributed Systems for the Modern Web – ESP International Journal of Advancements in Computational Technology (2024)

Conclusion:

In summary, Vijaya R. Varma Pothuri is a highly capable candidate for the Research for Excellence in Innovation award. His deep technical expertise, demonstrated leadership in innovative software solutions, and contributions to both industry and open-source projects make him a standout. By expanding his work into interdisciplinary areas and taking on more cross-functional leadership roles, he could further solidify his impact in the field of innovation. His existing body of work in scalable and distributed systems, coupled with his passion for advancing cutting-edge technologies, positions him well to continue driving innovation in the years to come.