Pablo Torre is a Data & AI Strategist based in San José, Costa Rica, with a decade of hands-on experience bridging capital markets and enterprise AI. He has moved from high-frequency equity trading and risk management to leading data modernization and LLM adoption at TradeStation, designing lake-based platforms and production-ready AI architectures. Pablo combines deep domain knowledge in trading systems, Python-driven FinTech development, and rigorous data governance to translate business needs into scalable, secure analytics and agent-based solutions. He has built low-latency trading tools and an advanced market-forecasting chatbot, reflecting a pragmatic, fail-fast mindset and strong cloud/Kubernetes operational skills. Currently focused on unlocking LLM value across the organization, he pairs technical craft with strategic roadmaps and stakeholder alignment to drive measurable productivity gains.
10 years of coding experience
8 years of employment as a software developer
Masters Business Analytics, Masters Business Analytics at Universidad Latina de Costa Rica
Life Long Learner Technology Data Analysis Artificial Intelligence, Life Long Learner Technology Data Analysis Artificial Intelligence at Coursera
Johns Hopkins University
AI Product Manager Nanodegree Program Artificial Intelligence & Product Management, AI Product Manager Nanodegree Program Artificial Intelligence & Product Management at Udacity
Specialization Deep Learning , Specialization Deep Learning at DeepLearning.ai
Load data from redshift into a pandas DataFrame and vice versa.
Contributions:2 PRs, 7 pushes, 2 branches in 6 months
data-analysispythonpolarsdataframesdata-science
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