About

I'm Chanaya Wheeler, a software engineer focused on building research driven systems that make women's health disparities visible and actionable.

My work sits at the intersection of engineering, applied research, and research translation. I design and implement systems that model real-world workflows, handle imperfect data responsibly, and document assumptions, constraints, and limitations clearly.

I am particularly interested in how technical infrastructure shapes what becomes measurable, interpretable, and actionable in health contexts. This includes scheduling systems, data ingestion pipelines, internal tools, and research-adjacent platforms that support clarity, reproducibility, and ethical data practice.

While my long-term focus is women's health equity across the lifespan, my engineering work is grounded in generalizable system design. I build tools that prioritize correctness over convenience, transparency over abstraction, and maintainability over novelty.

Background

I have professional experience as a fullstack software engineer designing and delivering internal tools, operational systems, and user-facing applications. My work has included owning projects end-to-end, collaborating with non-technical stakeholders, and bringing legacy or third-party workflows in-house.

I am comfortable working across the stack, from frontend interfaces to backend APIs and relational data models, and I place a strong emphasis on documentation, validation, and clear communication.

My technical training is complemented by a strong interest in research literacy and technical writing, particularly where software supports scientific, public-interest, or equity-driven work.

Approach

I approach engineering as a discipline of careful decision-making. I am attentive to tradeoffs, failure modes, and the social context in which systems operate.

I value clarity over cleverness, explicit documentation over implicit assumptions, and systems that can be understood and maintained by others.