Applied AI & Machine Learning — Real-World Projects, Agents & AI Workf

Nathan S.

Having trouble getting an AI or machine-learning project to actually work? I can help you build it, debug it, and understand what's happening under the hood.

I'm a professional data scientist and machine-learning engineer with years of experience solving messy, real-world problems. My recent work includes AI pipelines for large government-spending datasets, multi-agent systems for collecting historical pricing data, and working with local and open-source AI models.

I can help with:

• AI agents and multi-agent workflows
• Local and open-source LLMs
• MCP and AI-assisted coding workflows
• AI pipelines for collecting, cleaning, filtering, and comparing information
• Python and R for machine learning and data work
• Machine-learning models and deployment
• Messy or unusually structured datasets
• Debugging AI/ML projects that aren't working as expected

I also have substantial professional experience building ML and data pipelines for advertising clients, including uplift models, automated ETL, reporting systems, and production data workflows.

I have additional experience developing quantitative trading and portfolio-optimization systems. Some of this work is proprietary, so I can't discuss the specific algorithms or clients.

My approach is practical: we start with the problem you're actually trying to solve and figure out what will work. I can help you learn the underlying concepts or get a difficult project unstuck.

For additional quantitative background, I scored 165 Quantitative, 170 Verbal, and 6.0 Analytical Writing on the GRE.

If you're working on an AI/ML project that doesn't fit neatly into a standard course or tutorial or just want to get something out the door, that's probably where my experience is most useful.