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Mr. Harshal Shah | Software Engineering | Best Research Article Award

Tech Lead Engineer at eBay United States

Summary:

Harshal Shah is a Senior Staff Engineer with over 10 years of industry experience in software engineering, specializing in full-stack development, software architecture, and ad tech innovation. He has contributed to leading companies such as eBay, Qualcomm, and Comcast, where he has demonstrated expertise in developing scalable, cutting-edge solutions. Harshal is also an accomplished researcher with 8 published papers in AI/ML and cloud computing, and an author of a book on context-aware computing for smart health and wellness. His work has earned him international recognition, including the “Scientist of the Year 2024” award.

Professional Profile:

šŸ‘©ā€šŸŽ“Educational Background:

  • Master of Science in Computer Science ā€“ California State University, Long Beach (August 2016)
  • Bachelor of Engineering in Computer Engineering ā€“ Gujarat Technological University (May 2014)

Professional Experience:

Harshal currently serves as a Senior Staff Engineer at eBay, where he leads a team developing ad tech solutions to optimize monetization and enhance the user experience on eBayā€™s platform. He has worked extensively with technologies like Node.js, MarkoJS, Angular, React, Scala, and Java, mentoring developers and driving innovation.

At Qualcomm, Harshal developed business-critical tools and inventory management systems using Angular, TypeScript, and C#, and at Comcast, he focused on front-end features for the XFINITY Mobile platform using Angular 4+, Redux, and TypeScript. His career began with OC Web Kings, where he built custom web solutions for various clients using Python, Django, AngularJS, and Node.js.

Research Interests:

Harshal’s research focuses on artificial intelligence, machine learning, cloud computing, and context-aware computing, particularly in the domains of smart health, wellness, and ad tech optimization. He is passionate about exploring scalable architectures, intelligent systems, and emerging technologies to create impactful solutions.

Author Metrics:

  • Publications: 8 research papers in AI/ML and cloud computing, published in recognized journals.
  • Book: Authored Context-Aware Computing in Smart Health and Wellness (Eliva Press).
  • Thesis: Authored a widely distributed thesis on Context-Aware Computing, archived on ProQuest and available in 64 libraries worldwide.
  • Technical Writing: Contributed 7ā€“8 technical articles on platforms like Medium and Dev.to.
  • Apps: Developed two Android apps, Place Finder and Mind Monitor, available on the Amazon App Store.

Achievements & Awards:

  • Global Recognition Award (2024) for engineering and research excellence.
  • Spot Award (2024) from eBay.
  • Scientist of the Year 2024 Winner by the International Achievements Research Center.
  • Oracle Certified Professional JAVA SE 6 Programmer and other technical certifications.

Harshal Shahā€™s blend of technical expertise, research prowess, and mentorship skills makes him a prominent leader in software engineering and a respected contributor to the tech community.

Top Noted Publication:

1. TCP/IP Network Protocolsā€”Security Threats, Flaws and Defense Methods

  • Authors: M Shah, V Soni, H Shah, M Desai
  • Published: 2016, 3rd International Conference on Computing for Sustainable Global Development
  • Citations: 13
  • Summary: This paper identifies and analyzes security threats and vulnerabilities in TCP/IP network protocols and proposes effective defense strategies. The study serves as a foundational resource for securing network communications, emphasizing the significance of designing robust security architectures for modern networks.

2. Low Complexity FBMC for Wireless MIMO Systems

  • Authors: R Arjun, H Shah, S Dhua, K Appaiah, VM Gadre
  • Published: 2021, Physical Communication, Volume 47
  • Citations: 10
  • Summary: The research introduces a low-complexity Filter Bank Multicarrier (FBMC) system for wireless MIMO applications. It highlights how the proposed method reduces computational overhead while enhancing system performance, making it suitable for 5G and beyond.

3. Degree of Multi-Tenancy and its Database for Cloud Computing

  • Authors: K Jani, B Kumar, H Shah
  • Published: 2014, International Journal of Engineering Development and Research, Volume 1 (3)
  • Citations: 10
  • Summary: This work explores multi-tenancy in cloud computing, focusing on its impact on database architecture and performance. The paper provides insights into creating scalable, cost-effective cloud databases that support a high degree of multi-tenancy.

4. Hybrid Feature-Based Prediction of Suicide-Related Activity on Twitter

  • Authors: V Patel, H Shah, Y Farooqui
  • Published: 2020, 4th International Conference on Intelligent Computing and Control Systems
  • Citations: 7
  • Summary: This paper develops a hybrid feature extraction model using machine learning to predict suicide-related activities on Twitter. The study contributes to mental health interventions by identifying high-risk users based on social media activity.

5. Edge Computing in Centralized Data Server Deployment for Network QoS and Latency Improvement for Virtualization Environment

  • Authors: AK Yadav, B Sharma, AK Bhagat, H Shah, CR Manjunath, A Awasthi
  • Published: 2022, International Journal of Communication Networks and Information Security, Volume 14
  • Citations: 6
  • Summary: This paper evaluates the role of edge computing in improving network Quality of Service (QoS) and reducing latency in virtualization environments. It provides practical frameworks for integrating edge computing with centralized server architectures to enhance system efficiency.

Conclusion:

Harshal Shah is a highly accomplished researcher with substantial contributions in software engineering, particularly in AI/ML, cloud computing, and edge computing. His top publications are innovative, well-regarded, and demonstrate significant real-world impact. Additionally, his professional roles and accolades reflect his standing as a leader in both research and industry.

While his research is diverse and impactful, focusing on fewer specialized domains and targeting higher-impact publication venues could further solidify his stature as a top researcher. Overall, his strengths in combining academic and industrial expertise make him a strong candidate for the Best Research Article Award.

 

 

 

Harshal Shah | Software Engineering | Best Research Article Award

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