Pablo Felgueres is a research engineer in San Francisco with 9 years of experience building machine learning pipelines and production-grade agents. He has moved between startup and platform settings鈥攃ontributing to ML infrastructure and forecasting at Uber, exploring independent AI projects, and most recently building agents at Harvey. His background blends applied forecasting, incentive allocation models, and hands-on ML systems engineering, informed by an electrical engineering degree from Tecnol贸gico de Monterrey. Pablo also brings entrepreneurial experience founding a company that automated due diligence for utility-scale solar, reflecting a practical appetite for turning domain problems into data-driven products. Colleagues describe him as a first-principles engineer who bridges research and production, comfortable shipping models into real-world workflows.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at Tecnol贸gico de Monterrey
Contributions:10 PRs, 220 pushes, 9 branches in 1 year 3 months
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