Hi, I’m Rudy Agovic, a PhD-trained AI and machine learning practitioner with more than 20 years turning ambiguous business problems into reliable production systems. I’ve built client-facing applications, experimentation and personalization pipelines, NLP and forecasting systems, graph-based reasoning, computer-vision automation, and AI-ready data platforms. I blend hands-on engineering with data and cloud work, and I lead consulting across enterprise, startup, and mid-market environments. I’ve led end-to-end AI initiatives—from shaping data foundations to deploying scalable analytics platforms. My work spans governance, enterprise reporting, and practical knowledge-graph explorations to power decision makers. I’m comfortable translating complex technical ideas into business-facing solutions and mentoring teams through planning, execution, and operationalization.

Rudy Agovic

Hi, I’m Rudy Agovic, a PhD-trained AI and machine learning practitioner with more than 20 years turning ambiguous business problems into reliable production systems. I’ve built client-facing applications, experimentation and personalization pipelines, NLP and forecasting systems, graph-based reasoning, computer-vision automation, and AI-ready data platforms. I blend hands-on engineering with data and cloud work, and I lead consulting across enterprise, startup, and mid-market environments. I’ve led end-to-end AI initiatives—from shaping data foundations to deploying scalable analytics platforms. My work spans governance, enterprise reporting, and practical knowledge-graph explorations to power decision makers. I’m comfortable translating complex technical ideas into business-facing solutions and mentoring teams through planning, execution, and operationalization.

Available to hire

Hi, I’m Rudy Agovic, a PhD-trained AI and machine learning practitioner with more than 20 years turning ambiguous business problems into reliable production systems. I’ve built client-facing applications, experimentation and personalization pipelines, NLP and forecasting systems, graph-based reasoning, computer-vision automation, and AI-ready data platforms. I blend hands-on engineering with data and cloud work, and I lead consulting across enterprise, startup, and mid-market environments.

I’ve led end-to-end AI initiatives—from shaping data foundations to deploying scalable analytics platforms. My work spans governance, enterprise reporting, and practical knowledge-graph explorations to power decision makers. I’m comfortable translating complex technical ideas into business-facing solutions and mentoring teams through planning, execution, and operationalization.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Founder & Principal Consultant at Reliancy
January 1, 2011 - Present
Founded and led an AI and data consultancy delivering applied AI systems for enterprise, startup, and mid-market clients across retail, healthcare, industrial, nonprofit, and analytics environments. Led architecture, experimentation and personalization pipelines, NLP and forecasting systems, graph-based reasoning, computer-vision automation, and AI-ready data platforms.
Senior Advisor at Revology Analytics
January 1, 2022 - Present
Supported enterprise analytics and AI initiatives with governed data foundations, commercial reporting, and future conversational AI experiences as part of targeted architecture.
Co-Founder & Principal Consultant at UpperBound Technologies
January 1, 2006 - January 1, 2011
Led research and development in machine learning and data science, bridging academic methods with commercial applications.
Research / Teaching Assistant at University of Minnesota
January 1, 2004 - January 1, 2011
Drove machine learning research for NASA, Oak Ridge National Laboratory, and NSF-supported projects; taught operating systems and machine learning while supporting research and graduate instruction.

Education

PhD in Machine Learning / Computer Science at University of Minnesota
January 11, 2030 - January 1, 2011
MS in Mathematics at University of Minnesota
January 11, 2030 - January 1, 2008
BS in Computer Science at University of Minnesota
January 11, 2030 - January 1, 2004
BS in Mathematics at University of Minnesota
January 11, 2030 - January 1, 2004

Qualifications

Add your qualifications or awards here.

Industry Experience

Retail, Healthcare, Manufacturing, Non-Profit Organization, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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