<aside> <img src="/icons/trophy_gray.svg" alt="/icons/trophy_gray.svg" width="40px" /> Product (and Design) Leadership
Unlike the conventional software development PM profile, Alloy's Product Managers all have backgrounds in various supply chain positions. I leverage my extensive product leadership experience to coach and guide the Product team, and play a crucial role in shaping our roadmap and establishing our product development process.
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<aside> <img src="/icons/paint-brush_gray.svg" alt="/icons/paint-brush_gray.svg" width="40px" /> Design Team of One
As the sole owner of Alloy's design language, I handle the end-to-end process, from conceptualization and user research to crafting UI elements and integrating customer insights into product workflows. Additionally, I contribute front-end code to maintain design integrity across the Alloy platform.
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<aside> <img src="/icons/construction-crane_gray.svg" alt="/icons/construction-crane_gray.svg" width="40px" /> Customer-First Product Development Process
I strategically aligned Alloy's product development process with the needs and expectations of our customers, prioritizing their requirements over the desires of our engineering team. This approach has led to a significant reduction in critical bugs and a notable increase in customer satisfaction.
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Transformed Alloy's products from predominantly custom analysis and dashboards – that catered to only a select group of supply chain-oriented power users – to purpose-built workflows, featuring actionable steps, that are accessible and relevant to a broader range of customer personas such as revenue leaders and demand planners.



Created Alloy’s first Demand Planning application, and subsequent iterations. Planners use the tool to forecast customer demand to ensure that products are available in the right quantities, at the right time, and at the right place. Their goal is to balance supply and demand while minimizing costs and inefficiencies.




Developed an AI chatbot that answers supply chain questions from customer data. Asking a question in natural language causes the bot to perform complex queries and generate dashboards to provide an answer. It then also explains what each widget of the dashboard is attempting to convey.



