Anand Sharma, a technology architect with over 19 years of experience, is recognized for his contributions to artificial intelligence (AI), enterprise modernization, and software systems architecture. His work spans industries including healthcare, financial services, education, and semiconductors—reaching a wide user base through intelligent, cost-efficient, and scalable digital solutions.
One of Sharma’s recent projects involved the design and deployment of an AI-powered diagnostic system for medical imaging. Utilizing YOLOv8 object detection and convolutional neural networks (CNNs), the tool enabled real-time image analysis directly within an existing desktop platform, thereby eliminating the need for third-party solutions. According to internal benchmarks, the system reduced diagnostic latency by 40%, improved accuracy in image classification, and resulted in notable cost savings for the healthcare provider.
In the semiconductor sector, Sharma developed a data-driven industrial simulation framework capable of supporting multiple chip configurations. His generic simulator design reportedly reduced future engineering effort by over 80% and helped streamline pre-release validation across product lines.
Within education technology, he was involved in the development of a cloud-native automation platform for academic assessments, supporting real-time question generation, template-driven exam design, and scalable architecture using microservices. The system supported tens of thousands of educators and reduced development costs by up to 90%, according to internal analytics.
Sharma has advanced enterprise-wide modernization through RESTful API design, clean architecture, containerization, DevOps CI/CD, and enhanced system Observability. His work has centered on developing reusable frameworks and telemetry systems that improve reliability, scalability, and performance across complex cloud environments.
Recognition and Awards
Sharma’s leadership and innovation have been recognized through several international awards:
Gold Award Winner (Information Technology), Stellar Global Awards (2025)
Global Recognition Award for Innovation and Social Impact in AI Systems
Global Leader Award for Contributions to Cloud-Native Architecture and Intelligent Systems
Scholarly Contributions and Public Engagement
Sharma is the author of over 30 technical and peer-reviewed publications, many appearing in reputed journals such as QIT Press, IJIRSET, and ISCSITR. His research covers a wide array of topics including AI-driven observability, explainable AI, adaptive learning systems, and microservices scalability.
He is also an active contributor to the scientific community as a peer reviewer and has presented at multiple international conferences related to AI, enterprise architecture, and automation. Notable forums include:
Global Conference on Intelligent Systems & Data Engineering
International Symposium on Adaptive Technologies in Education
Enterprise TechTalks on AI Strategy and Software Reliability
Professional Affiliations
Fellow, Soft Computing Research Society (SCRS)
Member, Royal Society of Arts (RSA)
Contributor, International Society for Computer Science and IT Research (ISCSITR)
Vision Ahead
Focused on expanding access to intelligent systems, Anand Sharma works at the intersection of AI and modern architecture to develop resilient, ethical and effective platforms. His career reflects a combination of technical expertise and real-world enterprise value.
