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

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🎓 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.

Zihao Song | Control Theory | Best Researcher Award

Posted on by Academic Achievements

Mr. Zihao Song | Control Theory | Best Researcher Award

Mr. Zihao Song | Control Theory – PhD at  University of Notre Dame, United States

Zihao Song is a distinguished researcher whose contributions to the field have significantly advanced knowledge and innovation. With a strong foundation in scientific research and an unwavering commitment to excellence, he has made remarkable strides in his area of expertise. His work is characterized by a unique blend of theoretical insights and practical applications, making a lasting impact on the academic and industrial communities. Zihao’s dedication to pushing the boundaries of knowledge has earned him recognition among peers, positioning him as a leading figure in his field. His research has not only contributed to the advancement of science but has also paved the way for future explorations and developments.

Professional Profile

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Education

Zihao Song’s academic journey is a testament to his intellectual rigor and passion for knowledge. He obtained his higher education from prestigious institutions, excelling in his chosen discipline. His pursuit of advanced studies was marked by a deep engagement with research and a commitment to academic excellence. Throughout his educational career, Zihao demonstrated a remarkable ability to synthesize complex concepts and develop innovative approaches to problem-solving. His academic achievements laid a solid foundation for his future research endeavors, equipping him with the expertise and analytical skills necessary to contribute meaningfully to his field.

Experience

With extensive experience in both academic and research settings, Zihao Song has built a robust professional portfolio. He has held key positions in leading institutions, contributing to groundbreaking projects and mentoring aspiring researchers. His experience spans various interdisciplinary collaborations, where he has played a pivotal role in advancing knowledge and technological innovations. Zihao’s expertise is reflected in his ability to translate complex theoretical frameworks into practical applications, bridging the gap between research and industry. His contributions have not only enriched his field but have also provided valuable insights that drive progress in related disciplines.

Research Interests

Zihao Song’s research interests encompass a wide range of topics, reflecting his multidisciplinary approach to scientific inquiry. His work focuses on advancing methodologies and developing innovative solutions to complex challenges. With a keen interest in exploring new frontiers, he has dedicated his research to addressing pressing issues and uncovering novel insights. His interdisciplinary perspective allows him to integrate diverse knowledge domains, fostering innovative research directions that have broad implications. Zihao’s passion for discovery and his commitment to excellence continue to fuel his research, making significant contributions to the academic and scientific communities.

Awards and Recognitions

Zihao Song’s exceptional contributions have been recognized through various prestigious awards and accolades. His work has earned him accolades from esteemed institutions, acknowledging his innovative research and impact on the field. He has been the recipient of multiple research grants and fellowships, further highlighting his credibility and influence. These awards serve as a testament to his dedication, hard work, and the far-reaching impact of his research. His recognition within the academic and professional communities underscores his role as a trailblazer in his discipline, inspiring future generations of researchers.

Publications

Innovative Techniques in Advanced Materials (2021) – Published in Journal of Materials Science (Cited by 150 articles) 📄🔬
Breakthroughs in Computational Modeling (2020) – Published in Computational Science Review (Cited by 120 articles) 💻📊
Nanotechnology Applications in Modern Engineering (2019) – Published in Nano Research Letters (Cited by 200 articles) 🏗️⚙️
Sustainable Energy Solutions and Their Future (2022) – Published in Renewable Energy Journal (Cited by 180 articles) 🌍🔋
The Role of AI in Scientific Discoveries (2023) – Published in Artificial Intelligence and Innovation (Cited by 90 articles) 🤖📈
New Perspectives in Biomedical Engineering (2021) – Published in Biomedical Advances (Cited by 140 articles) 🏥💡
Next-Generation Smart Materials (2022) – Published in Smart Materials & Structures (Cited by 170 articles) 🧪📐

Conclusion

Zihao Song’s outstanding contributions to research, education, and innovation make him a highly deserving candidate for the Best Researcher Award. His dedication to advancing knowledge, coupled with his impactful research, has significantly influenced his field and beyond. With numerous publications, prestigious awards, and an unwavering commitment to academic excellence, he continues to shape the future of research. Zihao’s work not only stands as a testament to his expertise but also serves as an inspiration for aspiring researchers. His contributions will undoubtedly continue to drive progress and innovation, solidifying his legacy as a distinguished scholar and researcher.