Engineer, researcher, and systems thinker focused on building intelligent, self-evolving cloud infrastructures.
My work explores the convergence of distributed systems, artificial intelligence, and autonomous remediation — designing platforms that move beyond scalability toward adaptability, resilience, and machine-assisted decision-making at scale.
Bridging academic research with enterprise engineering, I translate theoretical advances into production-ready architectures that solve complex, real-world problems.
Research & Engineering Focus
Autonomous Cloud Systems Designing event-driven, self-healing architectures that detect, reason, and remediate failures in real time.
Applied Artificial Intelligence Developing RAG-based agents, adaptive ML pipelines, and intelligent orchestration frameworks for enterprise environments.
Distributed & Event Streaming Infrastructure Engineering high-throughput, low-latency systems capable of handling millions of transactions daily across cloud-native ecosystems.
Selected Contributions
- Architected AI-enabled event platforms within IBM Cloud ecosystems
- Designed autonomous remediation frameworks for enterprise-scale distributed systems
- Implemented blockchain-driven enterprise solutions beyond fintech domains
- GATE 2024 · AWS & Azure Certified · Open Source Contributor