AI Strategy with Data & Engineering Experience
Most “AI strategists” have never shipped a model or sat across the table from an exec who needed a real answer, not a buzzword. I have. I’m Yuji. I’m the Head of AI & Data at HigherOps. Before consulting, I was a ML (machine learning) engineer building fraud detection and risk-scoring systems and leading a ML team. So when I talk about AI implementation, it’s grounded in good engineering practice and data management that scales with your business and works in the long run, not just until the next cool AI thing comes out. I work with teams to design and deploy AI workflows that hold up in production, and I help executives make data-driven decisions instead of guessing based on vendor pitches. The gap between “AI strategy” and “AI that actually works” is usually a technical one that comes from experience. That’s the gap I close. If you want AI that’s rigorously built, not just a theoretically good idea, let’s talk. • AI workflow design and deployment that actually fits your business. • Fractional AI and data leadership. • Reporting and BI dashboards. • Data analysis and insights. • Building and setting up data analytics teams from the ground up. • Data pipeline and architecture design. • Custom machine learning models. • Predictive modeling and forecasting. • Building and setting up machine learning teams from the ground up. • Hiring and team structure guidance for AI/data functions.
Skills: AI Training, Data Science, MLOps, LLM Integration, AWS, SQL, Data Reporting, Data Management, Machine Learning Models, Data Analytics
Yuji Jeong is a vetted AI expert on AI Expert Network. Hire Yuji Jeong for AI consulting, implementation, and development projects.
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