Systems & automation-focused software engineer building production internal tools that connect operations with reliable backend systems. I specialize in Python, APIs, data pipelines, and workflow automation—turning high-stakes processes into auditable, maintainable platforms. Recent work includes hotel valet inventory & evidence capture, revenue/tax reporting automation, and labor analytics for executive visibility.

Note: Most source code is private due to proprietary workflows and sensitive data. I can share architecture and redacted examples during interviews.

Selected Case Studies

Hotel Valet Inventory & Evidence Automation Platform

Ticket-centric valet system enabling end-to-end vehicle tracking, video evidence capture, and automated nightly inventory reporting for hotel partners. Improved traceability, reduced damage claims, and eliminated manual reconciliation.

Python, Django, PostgreSQL, Todoist API, Automation Jobs

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Revenue & Parking Tax Reporting Data Pipelines

Automated data pipelines aggregating parking revenue across garages and booking channels into standardized, audit-ready tax and financial reports. Reduced manual reconciliation and improved reporting accuracy.

Python, Pandas, SQL, RCE Systems, Square API, Scheduled Jobs

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Scheduling, Labor Analytics & Compliance Monitoring

Analytics and reporting layer built on top of Paychex to provide leadership visibility into labor utilization, overtime exposure, and premium cost trends across locations.

Python, Paychex Flex, Labor Analytics, Scheduled Reporting, Slack Notifications

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E-commerce Operations & Fulfillment Systems

Operational workflows supporting multi-channel e-commerce sales across Shopify and Amazon FBA, with standardized listings, inventory visibility, and streamlined fulfillment processes.

Shopify, Amazon FBA, Amazon Seller Central, Veeqo, Operational Automation

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Technical Focus