With a background in chemical engineering focused on environmental sustainability, I recognized the urgent need for decision-support tools that empower stakeholders at the front lines of climate action.

Driven by this need, I taught myself to code and collaborated with diverse teams—from politicians to marginalized well-diggers—to inclusively co-design digital products tailored to their unique challenges. These communities, deeply rooted in their local contexts, possess the holistic wisdom crucial to transform environmental data into actionable, real-world solutions.

To deepen my ability to create technological products that can serve diverse contexts, I am currently pursuing a Master's in Computer Science with a specialization in Machine Learning at the University of Chicago. Here, I’ve honed my skills in designing and deploying scalable big-data applications with a focus on adaptability, efficiency, and reliability.

I have 2 years of professional experience and graduate in March 2025 and am actively seeking full-time software development roles in the US.

Let’s connect—I’d love to discuss potential opportunities!