AI-Augmented Document Review for Regulatory Affairs Efficiency

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Dr. Gaurav Raj
SSET, Sharda University, Greater Noida , India
er.gaurav.raj@gmail.com

Abstract

The escalating complexity and volume of regulatory submissions in the life sciences and pharmaceutical industries have created significant burdens for regulatory affairs (RA) teams tasked with ensuring dossier accuracy, completeness, and timeliness. Traditional manual review workflows—characterized by repetitive checks for section compliance, cross-reference validation, and terminology consistency—are increasingly insufficient in coping with the growing demands imposed by global harmonization initiatives such as ICH, evolving regional regulations, and the sheer scale of data generated in modern drug development. This study investigates the integration of an AI-augmented document review platform designed to automate routine validation tasks, surface potential compliance risks, and provide contextual decision support to RA professionals. Over a six-month pilot involving three mid-to large-sized pharmaceutical companies, the system was deployed alongside existing document management systems, with reviewers trained to leverage AI-generated annotations. Quantitative analysis revealed an average 45% reduction in end-to-end review cycle time—dropping from 120 to 66 hours—and a 60% decrease in minor compliance errors per 100 pages, significantly improving dossier quality. Qualitative feedback indicated high user satisfaction: 85% of reviewers found the platform intuitive, and 78% trusted AI-flagged issues. Survey respondents reported that automation of mundane checks freed their time for strategic activities such as regulatory strategy development and proactive risk management. The findings demonstrate that AI-augmented review can streamline workflows, reduce human error, and enhance the capacity of RA teams to manage complex, multiregional submissions, thereby supporting faster patient access to critical therapies. Future research should assess long‐term cost impacts, explore AI’s role in strategic intelligence gathering, and evaluate regulatory authorities’ acceptance of AI-generated review outputs.

Keywords

AI-augmented document review, regulatory affairs, compliance automation, pharmaceutical submissions, efficiency enhancement

References

https://www.google.com/url?sa=i&url=https%3A%2F%2Fwww.leewayhertz.com%2Fai-agents-for-compliance%2F&psig=AOvVaw0uauAnKXghD1xf8jHS0phX&ust=1750010517078000&source=images&cd=vfe&opi=89978449&ved=0CBUQjRxqFwoTCJDqpKvA8Y0DFQAAAAAdAAAAABAL
Anderson, P., & Malik, S. (2021). Phased implementation of AI in pharmaceutical regulatory affairs: Lessons learned. Journal of Regulatory Science, 8(2), 45–58.
Brown, T., Gupta, R., & Singh, P. (2020). NLP applications in document-intensive industries: A comparative review. International Journal of AI Applications, 12(4), 299–315.
Carroll, J., & Davis, K. (2018). Managing large-scale regulatory submission dossiers: Current challenges. Regulatory Affairs Journal, 22(1), 13–25.
(2021). ICH harmonised guideline: Common technical document (M4). International Council for Harmonisation.
Jones, L., Thomas, E., & Roberts, M. (2022). Delays in regulatory submissions and market access: Economic impacts. Health Policy Review, 17(3), 150–162.
Kumar, A., Patel, N., & Zhao, L. (2023). AI-driven dossier assembly: Vendor case studies and best practices. Pharma Tech Insights, 5(1), 22–34.
Lee, S., Wong, H., & Patel, J. (2021). Quantifying manual review workload in regulatory submissions. Clinical Regulatory Journal, 9(3), 112–128.
Mack, R. (2019). The evolving role of regulatory affairs in pharmaceutical innovation. Drug Development Today, 14(5), 67–76.
Nguyen, H., Li, F., & Brown, D. (2023). Machine learning models for compliance automation in life sciences. AI in Pharma, 3(2), 88–101.
Patel, V., & Sharma, R. (2024). Knowledge graphs for regulatory intelligence: Concepts and applications. Journal of Biomedical Informatics, 58(6), 415–429.
Peterson, G., Reed, S., & Jones, B. (2022). Trust and transparency in AI-mediated regulatory workflows. Ethics in AI, 2(4), 200–214.
Rahman, S., Williams, T., & Liu, X. (2023). Case study: Template enforcement using NLP in dossier creation. Journal of Pharmaceutical Innovation, 11(1), 10–19.
Smith, A., & Lee, M. (2020). Cross-regional regulatory requirements: A comparative analysis. Global Regulatory Forum, 7(2), 34–50.
Wang, J., & Chen, Y. (2023). Explainable AI for regulated industries: Frameworks and compliance. RegTech Journal, 4(1), 5–18.
Xu, P., & Thompson, L. (2022). Automated endpoint extraction from clinical study reports. Journal of Clinical Data Science, 6(3), 121–133.
Zhao, Q., Sun, Y., & Carter, P. (2021). Ontology-driven terminology management for global submissions. Semantic Web in Pharma, 1(2), 55–68.
Gudavalli, Sunil, Vijay Bhasker Reddy Bhimanapati, Pronoy Chopra, Aravind Ayyagari, Prof. (Dr.) Punit Goel, and Prof. (Dr.) Arpit Jain. (2021). Advanced Data Engineering for Multi-Node Inventory Systems. International Journal of Computer Science and Engineering (IJCSE), 10(2):95–116.
Ravi, V. K., Jampani, S., Gudavalli, S., Goel, P. K., Chhapola, A., & Shrivastav, A. (2022). Cloud-native DevOps practices for SAP deployment. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 10(6). ISSN: 2320-6586.
Goel, P. & Singh, S. P. (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.
Singh, S. P. & Goel, P. (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.
Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh
Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
Changalreddy , V. R. K., & Prasad, P. (Dr) M. (2025). Deploying Large Language Models (LLMs) for Automated Test Case Generation and QA Evaluation. Journal of Quantum Science and Technology (JQST), 2(1), Jan(321–339). Retrieved from https://jqst.org/index.php/j/article/view/163
Gali, Vinay Kumar, and Dr. S. P. Singh. 2024. Effective Sprint Management in Agile ERP Implementations: A Functional Lead’s Perspective. International Journal of All Research Education and Scientific Methods (IJARESM), vol. 12, no. 12, pp. 4764. Available online at: www.ijaresm.com.
Natarajan, V., & Jain, A. (2024). Optimizing cloud telemetry for real-time performance monitoring and insights. International Journal of Research in Modern Engineering and Emerging Technology, 12(12), 229. https://www.ijrmeet.org
Natarajan , V., & Bindewari, S. (2025). Microservices Architecture for API-Driven Automation in Cloud Lifecycle Management. Journal of Quantum Science and Technology (JQST), 2(1), Jan(365–387). Retrieved from https://jqst.org/index.php/j/article/view/161
Kumar, Ashish, and Dr. Sangeet Vashishtha. 2024. Managing Customer Relationships in a High-Growth Environment. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(12): 731. Retrieved (https://www.ijrmeet.org).
Bajaj, Abhijeet, and Akshun Chhapola. 2024. “Predictive Surge Pricing Model for On-Demand Services Based on Real-Time Data.” International Journal of Research in Modern Engineering and Emerging Technology 12(12):750. Retrieved (https://www.ijrmeet.org).
Pingulkar, Chinmay, and Shubham Jain. 2025. “Using PFMEA to Enhance Safety and Reliability in Solar Power Systems.” International Journal of Research in Modern Engineering and Emerging Technology 13(1): Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. Retrieved January 2025 (http://www.ijrmeet.org).
Venkatesan , K., & Kumar, D. R. (2025). CI/CD Pipelines for Model Training: Reducing Turnaround Time in Offline Model Training with Hive and Spark. Journal of Quantum Science and Technology (JQST), 2(1), Jan(416–445). Retrieved from https://jqst.org/index.php/j/article/view/171
Sivaraj, Krishna Prasath, and Vikhyat Gupta. 2025. AI-Powered Predictive Analytics for Early Detection of Behavioral Health Disorders. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):62. Resagate Global – Academy for International Journals of Multidisciplinary Research. Retrieved (https://www.ijrmeet.org).
Rao, P. G., & Kumar, P. (Dr.) M. (2025). Implementing Usability Testing for Improved Product Adoption and Satisfaction. Journal of Quantum Science and Technology (JQST), 2(1), Jan(543–564). Retrieved from https://jqst.org/index.php/j/article/view/174
Gupta, O., & Goel, P. (Dr) P. (2025). Beyond the MVP: Balancing Iteration and Brand Reputation in Product Development. Journal of Quantum Science and Technology (JQST), 2(1), Jan(471–494). Retrieved from https://jqst.org/index.php/j/article/view/176
Sreeprasad Govindankutty , Kratika Jain Machine Learning Algorithms for Personalized User Engagement in Social Media Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 874-897
Hari Gupta, Dr. Shruti Saxena. (2024). Building Scalable A/B Testing Infrastructure for High-Traffic Applications: Best Practices. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(4), 1–23. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/153
Vaidheyar Raman Balasubramanian , Nagender Yadav , Er. Aman Shrivastav Streamlining Data Migration Processes with SAP Data Services and SLT for Global Enterprises Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 842-873
Srinivasan Jayaraman , Shantanu Bindewari Architecting Scalable Data Platforms for the AEC and Manufacturing Industries Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 810-841
Advancing eCommerce with Distributed Systems , IJCSPUB – INTERNATIONAL JOURNAL OF CURRENT SCIENCE (IJCSPUB.org), ISSN:2250-1770, Vol.10, Issue 1, page no.92-115, March-2020, Available :https://rjpn.org/IJCSPUB/papers/IJCSP20A1011.pdf
Prince Tyagi, Ajay Shriram Kushwaha. (2024). Optimizing Aviation Logistics & SAP iMRO Solutions . International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 790–820. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/156
Dheeraj Yadav, Prof. (Dr.) Arpit Jain. (2024). Enhancing Oracle Database Performance on AWS RDS Platforms. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 718–741. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/153
Dheeraj Yadav, Reeta Mishra. (2024). Advanced Data Guard Techniques for High Availability in Oracle Databases. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(4), 245–271. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/165
Ojha, R., & Rastogi, D. (2024). Intelligent workflow automation in asset management using SAP RPA. International Journal for Research in Management and Pharmacy (IJRMP), 13(9), 47. https://www.ijrmp.org
Prabhakaran Rajendran, Dr. Lalit Kumar, Optimizing Cold Supply Chains: Leveraging Technology and Best Practices for Temperature-Sensitive Logistics , IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.11, Issue 4, Page No pp.744-760, November 2024, Available at : http://www.ijrar.org/IJRAR24D3343.pdf
IJRAR’s Publication Details
Khushmeet Singh, Anand Singh. (2024). Data Governance Best Practices in Cloud Migration Projects. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 821–836. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/157
Karthikeyan Ramdass, Dr Sangeet Vashishtha, Secure Application Development Lifecycle in Compliance with OWASP Standards , IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.11, Issue 4, Page No pp.651-668, November 2024, Available at : http://www.ijrar.org/IJRAR24D3338.pdf
Ravalji, V. Y., & Prasad, M. S. R. (2024). Advanced .NET Core APIs for financial transaction processing. International Journal for Research in Management and Pharmacy (IJRMP), 13(10), 22. https://www.ijrmp.org
Thummala, V. R., & Jain, A. (2024). Designing security architecture for healthcare data compliance. International Journal for Research in Management and Pharmacy (IJRMP), 13(10), 43. https://www.ijrmp.org
Ankit Kumar Gupta, Ajay Shriram Kushwaha. (2024). Cost Optimization Techniques for SAP Cloud Infrastructure in Enterprise Environments. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 931–950. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/164
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Gandhi, H., & Chhapola, A. (2024). Designing efficient vulnerability management systems for modern enterprises. International Journal for Research in Management and Pharmacy (IJRMP), 13(11). https://www.ijrmp.org
Jayaraman, K. D., & Jain, S. (2024). Leveraging Power BI for advanced business intelligence and reporting. International Journal for Research in Management and Pharmacy, 13(11), 21. https://www.ijrmp.org
Choudhary, S., & Borada, D. (2024). AI-powered solutions for proactive monitoring and alerting in cloud-based architectures. International Journal of Recent Modern Engineering and Emerging Technology, 12(12), 208. https://www.ijrmeet.org
Padmini Rajendra Bulani, Aayush Jain, Innovations in Deposit Pricing , IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.11, Issue 4, Page No pp.203-224, December 2024, Available at : http://www.ijrar.org/IJRAR24D3380.pdf
Shashank Shekhar Katyayan, Dr. Saurabh Solanki, Leveraging Machine Learning for Dynamic Pricing Optimization in Retail , IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.11, Issue 4, Page No pp.29-50, December 2024, Available at : http://www.ijrar.org/IJRAR24D3371.pdf
Katyayan, S. S., & Singh, P. (2024). Advanced A/B testing strategies for market segmentation in retail. International Journal of Research in Modern Engineering and Emerging Technology, 12(12), 555. https://www.ijrmeet.org
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Changalreddy, V. R. K., & Vashishtha, S. (2024). Predictive analytics for reducing customer churn in financial services. International Journal for Research in Management and Pharmacy (IJRMP), 13(12), 22. https://www.ijrmp.org
Gudavalli, S., Bhimanapati, V., Mehra, A., Goel, O., Jain, P. A., & Kumar, D. L. (2024). Machine Learning Applications in Telecommunications. Journal of Quantum Science and Technology (JQST), 1(4), Nov(190–216). https://jqst.org/index.php/j/article/view/105
Goel, P. & Singh, S. P. (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.
Singh, S. P. & Goel, P. (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.
Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh
Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
Kammireddy, V. R. C., & Goel, S. (2024). Advanced NLP techniques for name and address normalization in identity resolution. International Journal of Research in Modern Engineering and Emerging Technology, 12(12), 600. https://www.ijrmeet.org
Vinay kumar Gali, Prof. (Dr) Punit Goel, Optimizing Invoice to Cash I2C in Oracle Cloud Techniques for Enhancing Operational Efficiency , IJRAR – International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.11, Issue 4, Page No pp.51-70, December 2024, Available at : http://www.ijrar.org/IJRAR24D3372.pdf
Natarajan, Vignesh, and Prof. (Dr) Punit Goel. 2024. Scalable Fault-Tolerant Systems in Cloud Storage: Case Study of Amazon S3 and Dynamo DB. International Journal of All Research Education and Scientific Methods 12(12):4819. ISSN: 2455-6211. Available online at www.ijaresm.com. Arizona State University, 1151 S Forest Ave, Tempe, AZ, United States. Maharaja Agrasen Himalayan Garhwal University, Uttarakhand. ORCID.
Kumar, A., & Goel, P. (Dr) P. (2025). Enhancing ROI through AI-Powered Customer Interaction Models. Journal of Quantum Science and Technology (JQST), 2(1), Jan(585–612). Retrieved from https://jqst.org/index.php/j/article/view/178
Bajaj, A., & Prasad, P. (Dr) M. (2025). Data Lineage Extraction Techniques for SQL-Based Systems. Journal of Quantum Science and Technology (JQST), 2(1), Jan(388–415). Retrieved from https://jqst.org/index.php/j/article/view/170
Pingulkar, Chinmay, and Shubham Jain. 2025. Using PFMEA to Enhance Safety and Reliability in Solar Power Systems. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):1–X. Retrieved (https://www.ijrmeet.org).
Venkatesan, Karthik, and Saurabh Solanki. 2024. Real-Time Advertising Data Unification Using Spark and S3: Lessons from a 50GB+ Dataset Transformation. International Journal of Research in Humanities & Social Sciences 12(12):1-24. Resagate Global – Academy for International Journals of Multidisciplinary Research. Retrieved (www.ijrhs.net).
Sivaraj, K. P., & Singh, N. (2025). Impact of Data Visualization in Enhancing Stakeholder Engagement and Insights. Journal of Quantum Science and Technology (JQST), 2(1), Jan(519–542). Retrieved from https://jqst.org/index.php/j/article/view/175
Rao, Priya Guruprakash, and Abhinav Raghav. 2025. Enhancing Digital Platforms with Data-Driven User Research Techniques. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):84. Resagate Global – Academy for International Journals of Multidisciplinary Research. Retrieved (https://www.ijrmeet.org).
Mulka, Arun, and Dr. S. P. Singh. 2025. “Automating Database Management with Liquibase and Flyway Tools.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):108. Retrieved (www.ijrmeet.org).
Mulka, A., & Kumar, D. R. (2025). Advanced Configuration Management using Terraform and AWS Cloud Formation. Journal of Quantum Science and Technology (JQST), 2(1), Jan(565–584). Retrieved from https://jqst.org/index.php/j/article/view/177
Gupta, Ojas, and Lalit Kumar. 2025. “Behavioral Economics in UI/UX: Reducing Cognitive Load for Sustainable Consumer Choices.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):128. Retrieved (www.ijrmeet.org).
Somavarapu, S., & ER. PRIYANSHI. (2025). Building Scalable Data Science Pipelines for Large-Scale Employee Data Analysis. Journal of Quantum Science and Technology (JQST), 2(1), Jan(446–470). Retrieved from https://jqst.org/index.php/j/article/view/172
Workload-Adaptive Sharding Algorithms for Global Key-Value Stores , IJNRD – INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 8, page no.e594-e611, August-2023, Available :https://ijnrd.org/papers/IJNRD2308458.pdf
ML-Driven Request Routing and Traffic Shaping for Geographically Distributed Services , IJCSPUB – INTERNATIONAL JOURNAL OF CURRENT SCIENCE (www.IJCSPUB.org), ISSN:2250-1770, Vol.10, Issue 1, page no.70-91, February-2020, Available :https://rjpn.org/IJCSPUB/papers/IJCSP20A1010.pdf
Automated Incremental Graph-Based Upgrades and Patching for Hyperscale Infrastructure , IJNRD – INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.6, Issue 6, page no.89-109, June-2021, Available :https://ijnrd.org/papers/IJNRD2106010.pdf
Chintha, Venkata Ramanaiah, and Punit Goel. 2025. “Federated Learning for Privacy-Preserving AI in 6G Networks.” International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 13(1):39. Retrieved (http://www.ijrmeet.org).
Chintha, V. R., & Jain, S. (2025). AI-Powered Predictive Maintenance in 6G RAN: Enhancing Reliability. Journal of Quantum Science and Technology (JQST), 2(1), Jan(495–518). Retrieved from https://jqst.org/index.php/j/article/view/173
Goel, P. & Singh, S. P. (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.
Singh, S. P. & Goel, P. (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.
Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh
Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
Jampani, S., Gudavalli, S., Ravi, V. Krishna, Goel, P. (Dr.) P., Chhapola, A., & Shrivastav, E. A. (2024). Kubernetes and Containerization for SAP Applications. Journal of Quantum Science and Technology (JQST), 1(4), Nov(305–323). Retrieved from https://jqst.org/index.php/j/article/view/99.
Gudavalli, Sunil, Aravind Ayyagari, Kodamasimham Krishna, Punit Goel, Akshun Chhapola, and Arpit Jain. (2022). Inventory Forecasting Models Using Big Data Technologies. International Research Journal of Modernization in Engineering Technology and Science, 4(2). https://www.doi.org/10.56726/IRJMETS19207.
Ravi, Vamsee Krishna, Saketh Reddy Cheruku, Dheerender Thakur, Prof. Dr. Msr Prasad, Dr. Sanjouli Kaushik, and Prof. Dr. Punit Goel. (2022). AI and Machine Learning in Predictive Data Architecture. International Research Journal of Modernization in Engineering Technology and Science, 4(3):2712.
Das, Abhishek, Ashvini Byri, Ashish Kumar, Satendra Pal Singh, Om Goel, and Punit Goel. (2020). “Innovative Approaches to Scalable Multi-Tenant ML Frameworks.” International Research Journal of Modernization in Engineering, Technology and Science, 2(12). https://www.doi.org/10.56726/IRJMETS5394.
Subramanian, Gokul, Priyank Mohan, Om Goel, Rahul Arulkumaran, Arpit Jain, and Lalit Kumar. 2020. “Implementing Data Quality and Metadata Management for Large Enterprises.” International Journal of Research and Analytical Reviews (IJRAR) 7(3):775. Retrieved November 2020 (http://www.ijrar.org).
Sayata, Shachi Ghanshyam, Rakesh Jena, Satish Vadlamani, Lalit Kumar, Punit Goel, and S. P. Singh. 2020. Risk Management Frameworks for Systemically Important Clearinghouses. International Journal of General Engineering and Technology 9(1): 157–186. ISSN (P): 2278–9928; ISSN (E): 2278–9936.
Mali, Akash Balaji, Sandhyarani Ganipaneni, Rajas Paresh Kshirsagar, Om Goel, Prof. (Dr.) Arpit Jain, and Prof. (Dr.) Punit Goel. 2020. Cross-Border Money Transfers: Leveraging Stable Coins and Crypto APIs for Faster Transactions. International Journal of Research and Analytical Reviews (IJRAR) 7(3):789. Retrieved (https://www.ijrar.org).
Shaik, Afroz, Rahul Arulkumaran, Ravi Kiran Pagidi, Dr. S. P. Singh, Prof. (Dr.) Sandeep Kumar, and Shalu Jain. 2020. Ensuring Data Quality and Integrity in Cloud Migrations: Strategies and Tools. International Journal of Research and Analytical Reviews (IJRAR) 7(3):806. Retrieved November 2020 (http://www.ijrar.org).
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Garudasu, Swathi, Ashvini Byri, Sivaprasad Nadukuru, Om Goel, Niharika Singh, and Prof. (Dr.) Arpit Jain. 2020. Data Lake Optimization with Azure Data Bricks: Enhancing Performance in Data Transformation Workflows. International Journal of Research and Analytical Reviews (IJRAR) 7(2): 914. Retrieved November 20, 2024 (https://www.ijrar.org).
Dharmapuram, Suraj, Imran Khan, Murali Mohana Krishna Dandu, Prof. (Dr.) Punit Goel, Prof. (Dr.) Arpit Jain, and Er. Aman Shrivastav. 2021. Developing Scalable Search Indexing Infrastructures for High-Velocity E-Commerce Platforms. International Journal of Computer Science and Engineering 10(1): 119–138.
Abdul, Rafa, Sandhyarani Ganipaneni, Sivaprasad Nadukuru, Om Goel, Niharika Singh, and Arpit Jain. 2020. Designing Enterprise Solutions with Siemens Teamcenter for Enhanced Usability. International Journal of Research and Analytical Reviews (IJRAR) 7(1):477. Retrieved November 2024 (https://www.ijrar.org).