Software engineer · University of Washington · Seattle area
Steven Rosas
AI systems, developer tooling, and production-minded interfaces.
I ship LLM workflows, backends, and clear UX—with an eye toward what actually launches.
Featured work and the full story are below—or jump straight to projects.
About & backgroundBackground
About Me
I am a junior undergraduate Computer Science and Software Engineering major at the University of Washington, focused on AI-assisted systems, backend software engineering, and human-centered tools.
Focus
I enjoy building practical web experiences and developer workflows, with game development and interactive interfaces continuing to shape how I think about performance, usability, and design.
Lab log
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Problem
Mental health tools need interfaces that feel safe and responsive—without hiding the complexity of real NLP systems.
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Stack
LLM workflows, structured prompts, backend services, and static-to‑dynamic front ends (C++, Python, TypeScript, web).
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Outcome
Shipping humane demos, faster iteration on AI features, and clearer boundaries between human judgment and model output.
Currently exploring
- Real-time web experiences
- Cloud-based applications
- Open-source tools
Capabilities
Skills & Toolbox
Languages
Systems & tools
Selected work
Featured Work
Swipe or drag sideways to browse more projects (scroll hints fade at the edges).
UW · Research listing
iCare - Intelligent Healthcare for Mental and Behavior Health
UW-listed research UX: dual chatbots (Carebot and Coachbot) help people navigate behavioral-health conversations with NLP-backed workflows and deliberate prompt boundaries—not hand-wavy demos.
Show more case notes for iCare
Dual chatbot UX for behavioral health: triage-style support plus coaching-style guidance, wired to careful prompt boundaries.
Internship
Google - Associate Software Developer Intern
Internship at Google focused on aligning LLM outputs with product intent via rubrics, constraints, and iteration—covering classification, summarization, and structured code-transformation workloads.
Show more case notes for Google internship
Production-scale evaluation loops: align model outputs with product intent via rubrics, constraints, and iterative prompt design.
Coming soon
More Work Coming Soon
Additional software and AI projects will be added here.
Show more case notes for upcoming project
Placeholder slot for the next shipped build—spec will list objective, stack, and links once live.
Contact
Let's connect!
Open to internships, contract work, or just a chat about all things code and creativity.