Rahul Khurana | AI & Cybersecurity for E-Commerce | Best Paper Award

Posted on by Best Paper Award

Principal Architect, Systems at T-Mobile INC USA, United States

Summary:

Rahul Khurana, a seasoned IT professional with over 16 years of experience, is a trailblazer in enterprise systems, e-commerce, and telecom solutions. At T-Mobile USA, he has been instrumental in driving AI-powered initiatives that revolutionize digital commerce, streamline operations, and enhance customer trust through unparalleled billing and purchase transparency. His leadership in transformative projects like the Chatbot eCommerce initiative and the Digital Self-Service program has elevated T-Mobile’s digital contribution from a mere 1% to an impressive 65%, significantly contributing to the company’s growth from 20 million to over 116 million customers. 

Rahul’s research and innovations are not just reshaping T-Mobile’s operations but are also making waves globally. Industry leaders, including CEOs and executives from companies in the United States and Australia, have successfully applied his findings to drive business expansion and enhance operational efficiency. His expertise in integrating emerging technologies like AI, cloud solutions, and cybersecurity ensures secure, scalable systems that safeguard customer data while meeting evolving business needs. A mentor and visionary leader, Rahul continues to foster innovation across teams, setting industry benchmarks. 
Recognized with the 2024 Global Recognition Award for redefining telecommunications and establishing global standards of excellence, Rahul Khurana’s impact extends far beyond his organization, influencing the global technology landscape and inspiring the next generation of innovators. 

Professional Profile:

👩‍🎓Education:

Bachelor’s in Computer Science
Noida Institute of Engineering and Technologies, Greater Noida, UP, India

🏢 Professional Experience:

T-Mobile USA
Principal Architect, Digital | Nov 2017 – Present

  • Architected and led multibillion-dollar programs like D360, Purchase Transparency, AI e-Commerce chatbot, driving innovations in billing transparency, e-commerce, and digital self-service solutions.
  • Spearheaded AI-powered chatbot systems, leveraging 300+ APIs to enhance customer interactions, reduce call center volumes by 30%, and boost online sales conversions by 65%.
  • Drove the adoption of microservices architecture, streamlining enterprise scalability and enabling seamless integration of payment solutions, identity verification systems, and advanced fraud detection mechanisms.
  • Delivered a world-class commerce system that increased T-Mobile’s digital contribution from 1% to 65%, directly contributing to the company’s growth from 20 million to 116 million customers.
  • Implemented robust cybersecurity frameworks and innovative AI-powered automation, ensuring secure and efficient e-commerce operations aligned with global compliance standards.
  • Provided technical leadership across multiple vendor collaborations, including Adobe, Amdocs, and Salesforce, while mentoring development teams and fostering innovation.

Awards & Recognitions:

  • Global Recognition Award (2024) – Honored for transformative contributions to the telecommunications industry, redefining digital commerce and setting global standards.
  • Peak Award (2018 & 2023) – T-Mobile USA: Recognizing exceptional performance and leadership in digital architecture and cross-domain initiatives.
  • O2 Award (2013 to 2015) – HCL Technologies Ltd.: Recognizing outstanding performance in project delivery and innovation consecutively 3 times.  

Research Interests:

  • AI/ML in e-commerce and customer experience optimization
  • Cybersecurity integration in AI solutions
  • Microservices and cloud architecture for large-scale enterprise systems

Top Noted Publication:

Dynamic Cybersecurity Strategies for AI-Enhanced Ecommerce: A Federated Learning Approach to Data Privacy

  • Authors: R. Khurana, D. Kaul
  • Journal: Applied Research in Artificial Intelligence and Cloud Computing
  • Volume: 2 (1), Pages: 32-43
  • Year: 2019
  • Citations: 19
  • Summary: This study presents a federated learning-based approach to bolster data privacy in AI-enhanced e-commerce environments. The paper proposes adaptive cybersecurity measures to mitigate data privacy risks associated with distributed AI processing.

Fraud Detection in Ecommerce Payment Systems: The Role of Predictive AI in Real-Time Transaction Security and Risk Management

  • Author: R. Khurana
  • Journal: International Journal of Applied Machine Learning and Computational Sciences
  • Year: 2020
  • Citations: 18
  • Summary: Focused on fraud prevention, this paper examines the use of predictive AI for real-time security in e-commerce payment systems. Khurana explores how these predictive models enhance transaction security and help in preemptively managing fraud risks.

Implementing Encryption and Cybersecurity Strategies Across Client, Communication, Response Generation, and Database Modules in E-Commerce Conversational AI Systems

  • Author: R. Khurana
  • Journal: International Journal of Information and Cybersecurity
  • Volume: 5 (5), Pages: 1-22
  • Year: 2021
  • Citations: 15
  • Summary: This work details the implementation of encryption and cybersecurity measures within conversational AI systems used in e-commerce, covering various system components like client interfaces, communication channels, response generation modules, and databases.

Next-Gen AI Architectures for Telecom: Federated Learning, Graph Neural Networks, and Privacy-First Customer Automation

  • Author: R. Khurana
  • Journal: Sage Science Review of Applied Machine Learning
  • Volume: 5 (2), Pages: 113-126
  • Year: 2022
  • Citations: 13
  • Summary: This publication explores the integration of federated learning and graph neural networks within telecom applications. Khurana examines privacy-first architectures aimed at customer automation, which prioritize data security and privacy in large-scale customer interactions.

Applications of Quantum Computing in Telecom E-Commerce: Analysis of QKD, QAOA, and QML for Data Encryption, Speed Optimization, and AI-Driven Customer Experience

  • Author: R. Khurana
  • Journal: Quarterly Journal of Emerging Technologies and Innovations
  • Volume: 7 (9), Pages: 1-15
  • Year: 2022
  • Citations: 13
  • Summary: This study investigates the application of quantum computing technologies, including Quantum Key Distribution (QKD), Quantum Approximate Optimization Algorithm (QAOA), and Quantum Machine Learning (QML), within telecom e-commerce. It focuses on advancements in data encryption, speed optimization, and enhanced AI-driven customer experiences.

Conclusion:

Mr. Rahul Khurana is a deserving recipient of the Best Paper Award for his groundbreaking contributions to AI, cybersecurity, and quantum computing within e-commerce. His research not only addresses critical challenges in fraud detection, transaction security, and data privacy but also demonstrates practical applications that have been adopted globally. CEOs and industry leaders in the United States and Australia have leveraged his insights to drive business growth and operational efficiency.

Rahul’s visionary integration of cutting-edge technologies highlights his ability to bridge innovation with real-world challenges, setting new industry benchmarks. His work transcends traditional research, offering transformative solutions that influence global commerce and technology landscapes. As an industry leader, his accomplishments exemplify the spirit of the Best Paper Award, recognizing research that inspires progress, reshapes industries, and fosters a forward-looking perspective on e-commerce and telecommunications.