OMAR HERNANDEZ

I'm a systems-driven Software Engineer and Data Scientist with roots in Cuba and Miami, Florida—where resilience and curiosity shaped how I approach technology and problem-solving. My work focuses on building high-performance data pipelines, automation frameworks, and cloud infrastructure that turn complex datasets into reproducible, production-ready systems.

As an NIH-funded researcher, I led multi-year neuroimaging projects across Emory, the NIH, and the VA, developing terminal-native pipelines for more than 30 TB of fMRI, MRS, and TMS data to decode aging, neuroplasticity, and GABA modulation during task learning. I also developed the data architecture and pipelines for wearable-integrated studies involving over 100 Apple Watches to correlate cardiovascular dynamics with metabolic neurochemistry, bridging physiological telemetry with spectroscopic brain signals to reveal new insights into human performance.

In digital pathology, I digitized over 100,000 paraffin-embedded tissue blocks and built a secure, cloud-ready archival system using Leica Cerebro and SQL-based access controls, enabling cross-departmental collaboration among hospital, academic, and compliance teams.

Most recently, I engineered a financial automation stack that unified lead generation, ETL workflows, NLP classification, and Power BI reporting—reducing manual processing from hours to seconds and supporting up to $1 million in daily transactions.

Whether processing brainwaves, tissue slides, or business logic, I design systems that scale in real time, maintain integrity, and create clarity from complexity. My mission is simple: turn raw data into decisions—and decisions into momentum for teams tackling the world's hardest problems.