Architecting Resilient Systems.
Mapping technical domains and the human stories behind them—from resource efficiency in distributed systems to the structural elegance of graph databases.
Resource Fairness and Efficiency
Performance in a shared cluster is a zero-sum game. This research explores how to balance query needs by understanding the systemic trade-offs required for fair and efficient resource allocation.
I no longer apply these algorithms to server racks, but this is exactly how I manage organizational P&L, cross-functional teams, and enterprise AI deployments. True leadership, like successful resource allocation, isn't about giving everyone what they want; it is about confidently defining the bounds of sacrifice across the system.
Resource Interferences in Distributed Systems
System bottlenecks act as hidden economic taxes on distributed systems. This work untangles complex resource interferences to shift the focus from raw speed to managing the actual costs of scale.
What looks like a localized performance issue is almost always a systemic interference acting as a hidden tax. I now use this 'diagnostic lens' to resolve organizational friction and misaligned product roadmaps. I look for the invisible taxes—the systemic overlaps that are starving a company's ability to scale.
iQCAR: Inter-Query Contention Analyzer
iQCAR: A Demonstration of an Inter-Query Contention Analyzer
Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework
Thoth: Towards Managing a Multi-System Cluster
Graph Databases & High Performance Computing
Mapping the world as a connected web rather than a flat table. This research explored how to integrate complex graph structures into high-performance platforms while preserving the deep nuance of the data.
My early research taught me that recognizing the hidden connections between isolated components is the key to managing scale. Today, I apply this graph-theoretic thinking directly to business ecosystems—viewing partner integrations, market dynamics, and multi-agent AI networks as a deeply connected web where structural empathy is the ultimate competitive advantage.