Open to Data, AI, and Systems Roles

Unlocking the power of data

My career has focused on turning complex operational challenges in finance and healthcare into data-driven systems that scale reliably, improve decision-making, and deliver measurable impact.

Let's Talk View Experience View Research

What I'm Looking For

Roles on cross-functional teams where high-impact engineering sits at the intersection of business goals and technical execution, in fast-paced environments that value ownership and measurable outcomes.

Professional Experience

Building high-impact systems in finance and healthcare

Systems Engineer

Wells Fargo | Current

Built automated analytics systems to monitor I/O, networking, and platform health for earlier incident response.
Designed predictive models to forecast storage capacity and ingest throughput for new datacenter builds.
Built Azure-based data pipelines with AI services to automate document ingestion workflows.
Managed highly available OpenShift and HELM deployments with load balancing tuned for uptime.

Lead Business Analyst

ESO | Jul 2022 - Feb 2024

Led data product development that produced over $7M in ARR.
Built AI NLP solutions mapping clinical free text into diagnosis and treatment categories, saving hundreds of clinician hours.
Built ELT pipelines with Azure Data Factory, Python, SQL, and Snowflake for analytics and reporting.
Presented statistical and time-series insights to senior hospital and government stakeholders.

Technical Consultant

UnityPoint Health | Sep 2020 - Jul 2022

Helped launch telehealth services for pharmacy, neurology, and palliative care.
Built A/B testing frameworks and regression models for statistically validated healthcare improvements.
Developed Power BI and Tableau dashboards across 6 hospitals and 14 clinics to improve resource allocation.
Modeled infection curve progression and enabled dynamic allocations that improved operational capability by 20%.

Research

AI applications in cyber security

Harnessing TI Feeds for Exploitation Detection (2024)

Machine learning pipeline for detecting vulnerability exploitation across 191 threat intelligence feeds.

arXiv:2409.07709 - IEEE CSR 2024

Abstract PDF

Cream Skimming the Underground: Identifying Relevant Information Points from Online Forums (2023)

Supervised ML approach for classifying underground forum threads into PoC, weaponization, and exploitation signals.

arXiv:2308.02581 - IEEE CSR 2023

ADS Abstract PDF

Conference Presentation

Presentation and participation in the Cambridge Cybercrime Conference 2023.

Conference Link