Muzeeb Mohammad
Senior Manager of Software Engineering
Newark, Delaware, United States
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Muzeeb Mohammad is a Senior Manager of Software Engineering at JPMorgan Chase, where he designs and leads large-scale, secure, and high-performance distributed microservices powering mission-critical financial platforms.
His work spans Zero-Trust API architectures, event-driven systems, and real-time data-streaming platforms (Kafka) supporting enterprise-scale credit-card and digital-banking services. He specializes in building systems that remain resilient, observable, and secure under extreme scale and regulatory constraints.
Beyond delivery, Muzeeb is a passionate engineering leader and mentor, focused on growing high-performing teams and developing the next generation of system architects. A Senior Member of IEEE and an international technology awards judge (including the Globee® Awards), he actively bridges academic research with real-world enterprise implementation.
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AI-Driven Reliability in Modern Software Systems: Rethinking Development from Front-End to Cloud
Software reliability today goes far beyond keeping servers online—it starts from how fast a webpage loads and extends all the way to how cloud services recover from failures. In this session, we’ll explore how AI-driven reliability is transforming the way modern software is designed and maintained. Topics include how intelligent observability connects front-end and back-end performance, how adaptive testing helps teams ship quality faster, and how AI-assisted fault prediction enables systems to fix issues before users even notice them. We’ll also look at career paths in front-end, full-stack, and site reliability engineering, with practical tips and tools that students can start learning today to build the next generation of reliable, intelligent systems.
Design Patterns and Benchmarking Insights for High-Performance Apache Kafka Systems
Apache Kafka underpins many modern event-driven systems, yet selecting the right architectural patterns and benchmarking them rigorously remains challenging. This session distills practical design patterns and performance insights from an analysis of 40+ peer-reviewed Kafka deployments, covering patterns such as CQRS, exactly-once pipelines, change-data capture (CDC), log compaction, event replay, and tiered storage. It also examines real-world benchmarking approaches, including TPCx-Kafka and custom workloads, highlighting common reproducibility pitfalls and offering actionable guidance for designing scalable, reliable Kafka architectures. Based on an IEEE-accepted conference paper presented at ICICyTA 2025.
Resilient Microservices: Recovery Patterns, Trade-Offs, and Evidence-Based Evaluation
Microservices enable scalable cloud-native systems but also introduce continuous failure modes such as timeouts, retry storms, and cascading outages. This session distills evidence-based recovery patterns from a PRISMA-aligned review of 26 peer-reviewed studies (2014–2025), covering techniques including circuit breakers, retries with jitter and budgets, bulkheads, sagas with compensation, idempotency, backpressure, and chaos engineering. It highlights real-world trade-offs across tail latency (P95/P99), availability, resource overhead, and operational complexity, and provides actionable guidance for designing resilient, self-healing microservice architectures. Based on an IEEE-accepted conference paper presented at ICICyTA 2025.
Muzeeb Mohammad
Senior Manager of Software Engineering
Newark, Delaware, United States
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