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

Summary:

Rahul Khurana is a seasoned IT professional with a deep understanding of enterprise systems, software development, and emerging technologies. His 16+ years in the industry span multiple sectors, with a focus on e-commerce, telecom, and cloud solutions. At T-Mobile USA, he has played a pivotal role in driving AI-powered solutions, improving operational efficiency, and securing customer data. Rahulā€™s technical acumen is complemented by his leadership abilities, mentoring development teams, and championing best practices across IT and digital domains.

Professional Profile:

šŸ‘©ā€šŸŽ“Education:

Bachelorā€™s in Computer Science
Noida Institute of Engineering and Technologies, Greater Noida, UP, India

šŸ¢ Professional Experience:

T-Mobile USA
Principal Architect, Digital | Nov 2017 ā€“ Present

  • Led cross-domain initiatives to implement digital standards, ensuring alignment with IT strategy and policies.
  • Spearheaded AI-powered chatbots, reducing call center volumes by 30% and increasing online sales conversions by 40%.
  • Managed the implementation of microservices architecture, payment solutions, and robust cybersecurity measures for e-commerce platforms.

Ciber Inc. & Ciber Global LLC
Principal Consultant | Feb 2016 ā€“ Nov 2017

  • Architected microservices and managed end-to-end implementations of T-Mobileā€™s customer-facing websites.
  • Integrated secure payment solutions, focusing on compliance with PCI DSS and data protection regulations.

HCL Technologies Ltd.
Sr. Developer (Tech Lead) | Jun 2011 ā€“ Feb 2016

  • Led teams in the development of SOA-based applications, focusing on high-throughput, highly available transaction systems.
  • Designed enterprise-level data architectures, mentored teams, and collaborated with cross-functional global teams.

BirlaSoft India Ltd.
Software Developer | Feb 2008 ā€“ Jun 2011

  • Designed and developed mobile and web applications for major clients, including Monster Worldwide and GE Commercial Finance.

Awards & Recognitions:

  • Peak Award (2017-2024) ā€“ T-Mobile USA: Recognizing exceptional performance and leadership in digital architecture and cross-domain initiatives.
  • O2 Award (2011-2015) ā€“ HCL Technologies Ltd.: Recognizing outstanding performance in project delivery and innovation.

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 strong candidate for the Best Paper Award, with his work making notable contributions to the fields of AI, cybersecurity, and quantum computing within e-commerce. His papers reflect both innovation and practical application, particularly in fraud detection, transaction security, and data privacy. To maximize the broader impact of his research, he could consider expanding his focus to additional industries and incorporating interdisciplinary perspectives. Nonetheless, his accomplishments and vision for integrating cutting-edge technologies into e-commerce position him as a deserving recipient of the Best Paper Award.

 

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

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