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Doga KarabeyDK
Open to opportunities

Doga Karabey

@dogakarabey

I build AI products and data-driven tools for compliance, education, finance, and operations.

United States
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What I'm looking for

I'm looking to build AI and data products where rigorous analysis can shape practical decisions, especially across startups, finance, compliance, education, and operational workflows.

I've co-founded EduSync at MemorySync LLC, launching an AI-powered academic integrity platform integrated with Canvas LMS via LTI 1.3 and available through Google Workspace Marketplace and Microsoft Office Add-ins. I designed its FERPA-compliant architecture with zero external student data storage and led institutional outreach with Seattle University and Redmond High School.

Previously, I co-founded LeaseMate, an AI compliance tool that converts leases and contracts into jurisdiction-specific city-code guidance and auto-filled forms. We secured a working partnership with the City of Santa Barbara and grew to 13 pilot businesses within months of launch.

My work also includes due diligence on 30+ startups for Maxis VC/PE at Is Bank, financial and cybersecurity assessments for FinTech partnerships at SoftTech, and a machine learning capstone for Amazon Worldwide Sustainability. I use Python, SQL, R, statistical modeling, and machine learning to turn complex evidence into practical product and business decisions.

Experience

Work history, roles, and key accomplishments

EL
Current

Co-Founder

EduSync · MemorySync LLC

Sep 2025 - Present (11 months)

Launched an AI-powered academic integrity platform integrating with Canvas LMS via LTI 1.3, with publications on Google Workspace Marketplace and Microsoft Office Add-ins. Designed a FERPA-compliant architecture with zero external student data storage, supporting data science workflows in Word, Google Docs, Jupyter, and VS Code.

Education

Degrees, certifications, and relevant coursework

Seattle University logoSU

Seattle University

Master of Science, Data Science

Pursuing a Master of Science in Data Science at Seattle University, expected to complete in June 2026.

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