AI & Data Science Leader with a PhD in Computer Engineering. Specializing in architecting robust predictive systems and optimizing massive-scale data pipelines.
Years Engineering
Systems Deployed
Top-Tier Pubs
School districts lacked predictive visibility into IEP compliance and operational bottlenecks, relying on slow, manual data aggregation.
Engineered automated ETL pipelines handling massive-scale district data. Deployed production-ready predictive machine learning models within the iTAAP platform.
Successfully deployed to 50+ school districts. Achieved a 90% reduction in data processing time and improved data availability by 95%+, directly driving business ROI.
Detecting anomalies and understanding the behavior of complex cloud network routing (AWS EC2, BGP Anycast) at a global scale requires processing enormous datasets in real-time.
Designed robust BGP-based detection methodologies. Leveraged heavy predictive modeling and machine learning algorithms on top of extensive Python/AWS data pipelines.
Authored multiple top-tier publications advancing the field of network security and cloud infrastructure analysis.
Extensive peer review contributions ensuring the integrity and quality of high-tier network science and security venues.