Engineering articles, peer-reviewed research, conference publications, accepted manuscripts, and technical community contributions focused on distributed systems, cloud-native architecture, reliable AI, cybersecurity, and agentic AI governance.
IEEE SmartCloud 2026
Published in the 2026 IEEE 11th International Conference on Smart Cloud (SmartCloud).
The work examines production AI reliability challenges including latency amplification, retry storms, cascading failures, and resilient architecture patterns.
IEEE Xplore Document: 11638708
Accepted for publication in the proceedings of the First International Conference on Secure Quantum Intelligence and Trusted Systems.
The work investigates weight-only spectral indicators for neural-network overfitting detection using Random Matrix Theory.
San Antonio, Texas · December 10–11, 2026
Cyber-AI 2026 research on human-governed runtime architecture for trustworthy enterprise AI agents, emphasizing policy enforcement, controlled execution, security, and human oversight.
Research focused on secure agentic execution, credential isolation, token vault architecture, controlled access, and auditability.
Accepted for presentation and publication at the International Symposium on AI and Cyber Security Research and Innovations. Proceedings indexing is pending.
The research presents a policy-driven runtime governance architecture emphasizing policy enforcement, governance controls, human oversight, auditability, and secure agent execution.
Proceedings indexing is pending.
Research exploring graph-based dependency modeling, decentralized anomaly detection, cyber resilience, and root-cause localization across distributed edge-cloud microservice environments.
Experimental work examining failure containment, retry behavior, circuit breakers, observability, and latency amplification in distributed systems.
An examination of fan-out pressure in push-based architectures and how hybrid delivery models improve scalability while reducing infrastructure pressure.
Why cache misses increase latency, backend load, and infrastructure cost, and how cache-hit optimization improves performance at scale.
Engineering lessons from modernizing enterprise systems toward scalable cloud-native and microservice architectures.
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Articles covering distributed systems, production AI, software architecture, reliability, scalability, and enterprise engineering.
Visit SubstackEngineering articles exploring AI systems, observability, architecture patterns, distributed systems, and production failure modes.
Visit MediumElevated to the grade of IEEE Senior Member in September 2026, recognizing significant professional experience and technical contributions.
Served as Session Co-Chair, supporting session coordination and technical program delivery.
Reviewer service covering four IEEE Access manuscripts.
Reviewer supporting technical evaluation of AI and cybersecurity research submissions.
Completed assigned peer-review service for AISRI 2026.
Program Committee Member for the IEEE International Conference on Big Data 2026, supporting peer review and technical evaluation of research submissions.
August 2026–Present
Program Committee participation supporting peer review and evaluation of research in artificial intelligence and related computing disciplines.
Program Committee Member for the First International Conference on Secure Quantum Intelligence and Trusted Systems.
Reviewing research involving trustworthy AI, cybersecurity, adversarial machine learning, autonomous systems, and intelligent security architectures.
Invited reviewer for the 2026 International Conference on Advances in Computing, Communication and Materials.
External reviewer / subreviewer contributing to the evaluation of research related to generative AI, security, and trustworthy AI systems.
Production AI reliability, latency, failure containment, retries, fallbacks, and resilient AI architecture.
Secure agent execution, policy-driven runtime governance, credential isolation, human oversight, auditability, and trustworthy enterprise AI.
Microservices, failure propagation, scalability, observability, distributed architecture, and resilience.
Anomaly detection, root-cause localization, graph-based dependency analysis, and intelligent observability.