The People Behind Your Financial Future
Meet the diverse team of engineers, analysts, and financial strategists who are reshaping how machine learning serves personal finance in Southeast Asia
Our Core Team
Three distinct backgrounds converged in 2023 to tackle a shared challenge: making sophisticated financial recommendations accessible through intelligent technology. Each brings unique expertise from different corners of the tech and finance world.
Zephyr Castellanos
Lead ML Engineer & Co-Founder
Started coding neural networks in college dorm rooms back in 2019, then spent three years at a Singapore fintech startup building recommendation engines for cryptocurrency portfolios. What fascinated her wasn't just the algorithms—it was watching how people actually made financial decisions when presented with data-driven insights.
Indira Velasco
Financial Systems Architect
Spent seven years working with traditional banking infrastructure before realizing that most financial advice platforms treat users like statistics rather than individuals. Her background in risk assessment and regulatory compliance brings the practical financial expertise that keeps our recommendations both innovative and responsible.
Phoenix Mercado
Data Strategy Director
Previously led data teams at two Manila-based e-commerce companies, where she learned that understanding user behavior requires more than just tracking clicks and conversions. Her approach combines quantitative analysis with genuine curiosity about how people's financial habits evolve over time and across different life circumstances.
What Drives Us
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Individual-First Technology
We believe financial recommendations should adapt to each person's unique situation, not force everyone into the same optimization models.
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Transparent Algorithms
Our users deserve to understand why specific recommendations are being made, not just trust a black box system.
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Cultural Context Matters
Financial strategies that work in Western markets don't always translate directly to Southeast Asian economic realities and family structures.
Our Mission
To bridge the gap between sophisticated machine learning capabilities and practical financial decision-making, creating personalized recommendation systems that respect individual circumstances while providing genuinely useful insights for long-term financial health.