Real-Time Supply-Chain Data Platform
Event-driven open lakehouse for end-to-end supply-chain visibility.
Data & AI Engineer
AWS Certified Data Engineer – Associate
I architect real-time data platforms that turn event streams into decisions — at scale, with sub-second latency.
01 — About
I'm a Data & AI Engineer focused on the systems that sit between raw events and real decisions: change-data-capture pipelines, streaming transforms, open lakehouses, and the ML and retrieval layers that ride on top of them.
Over 3 years in enterprise data engineering at Cognizant, I've built and operated production data platforms, and I hold an M.S. Computer Science from University of South Florida — the systems and ML foundations behind the architectures I ship.
The work below is hands-on: event-driven lakehouses, multi-agent intelligence platforms, real-time fraud and observability systems — built end to end, from ingestion to serving.
3 years · Cognizant
M.S. Computer Science, University of South Florida (May 2026)
AWS Certified Data Engineer – Associate
Streaming & Messaging
Lakehouse & Storage
Transform & Orchestration
ML & AI
Serving & Platform
02 — Projects
Real-time platforms, multi-agent intelligence, and data-quality systems — built end to end.
Event-driven open lakehouse for end-to-end supply-chain visibility.
Real-time 30-day hospital readmission prevention on FHIR/HL7 clinical data.
Multi-agent financial-intelligence platform built on a streaming medallion lakehouse.
Real-time payment-fraud detection on a streaming medallion pipeline.
Local-first, privacy-preserving contract intelligence.
Real-time data observability: quality, lineage, and anomaly detection.
Creator-economy burnout prediction with causal and survival analysis.
How fast New York actually responds — measured across 3.46M real service requests.
A purchase-intent model validated forward in time, then benchmarked against a one-line rule.