Head of Product
- Co-founded a FinTech club; lead the development and deployment of student-built products.
I'm someone who enjoys both learning and doing, constantly exploring new ideas and finding meaningful ways to apply them in my life. I'm deeply passionate about finance and technology, specifically the potential they hold to improve people's lives through better products, smarter systems, and entirely new ways of thinking about the world.
At San Diego State, I've represented more than 10,700 students (over 25% of the student body) and 40+ registered student organizations through my roles as Executive Vice President of the Fowler College of Business Council and Vice President of Health and Wellness for the Interfraternity Council. More recently, I founded the Financial Optimization Group, a club dedicated to teaching the practical, real-world skills that aren't typically covered in the classroom but are often expected by employers.
Outside of academics and leadership, I value staying active. I enjoy running, weightlifting, and keeping to a disciplined routine. I also love spending time with family and friends. Lately, I've gotten into film. Some recent favorites include Se7en, Nightcrawler, and Enemy. I appreciate them for their unique storytelling, layered plots, and open-ended conclusions that leave room for interpretation.
I helped develop a predictive analytics proposal for Elum Designs, Inc., a seasonal stationery and consumer goods company that partners with major retailers including Ross, HomeGoods, and Macy's.
I collaborated directly with Elum Designs' CEO and cross-functional teams across Logistics, Design, and Product to gather requirements and evaluate existing workflows. Our analysis surfaced three critical challenges: nearly 50% of designs never reach production, design cycles average 16 weeks (creating significant risk for time-sensitive seasonal launches), and buyer feedback and design data are fragmented across multiple SaaS tools and systems.
To close these gaps, I proposed a cloud-based analytics solution leveraging Google Cloud Vision, Qualtrics CoreXM, and Google BigQuery to predict design success earlier in the lifecycle. This approach enables data-driven decisions sooner, reduces wasted creative effort, and sharpens operational efficiency across the seasonal cycle.
Always open to conversations about tech, finance, and early-career opportunities.
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