University of British Columbia
Bachelors, Geography/GIS
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I have over seven years of specialized experience in geospatial data engineering and enterprise database administration, paired with a deep technical focus on evaluating, red-teaming, and training frontier foundation models. My expertise lies at the intersection of AI training and highly complex spatial reasoning, cartographic accuracy, and geographic data synthesis. I have a proven track record of developing and optimizing automated multi-agent execution loops and custom Model Context Protocol (MCP) integrations across Anthropic, Google, and xAI ecosystems. This technical background allows me to design advanced data validation frameworks and deploy autonomous data-routing pipelines that successfully solve live inference triggering and decision automation. What sets me apart is my ability to bridge high-level data governance with domain-specific linguistic and technical fluency. I possess the specialized spatial reasoning and bilingual capacity to evaluate high-complexity prompts and datasets in both English and professional-grade Spanish. Beyond my enterprise GIS data pedigree—which includes administering critical network infrastructure geodatabases and handling complex schema validation —I actively build independent AI systems. These projects range from developing fully offline, optimized small language model (SLM) decision tools for resource-constrained field clinics to engineering autonomous quantitative trading systems utilizing weather ensemble and multi-regime volatility modeling. This combination of rigorous data architecture experience and hands-on AI model evaluation makes me uniquely equipped to train and benchmark models for ultra-precise, real-world execution.
Bachelors, Geography/GIS