RS

about

I build AI-powered applications, autonomous agent workflows, and full-stack products, with a background spanning software engineering, cloud infrastructure, and electronics. I can take a project from an initial idea through API design, implementation, testing, and deployment. My projects include voice-driven clinical intake, AI governance middleware, automated development agents, financial research tools, and multi-agent coordination platforms. I work with Python, TypeScript, React, Next.js, FastAPI, and Node.js, and integrate language models, real-time voice services, databases, and cloud platforms. I've also published orchestration tools to npm and led teams in competitive hackathons. As an open-source contributor to Apple MLX, Ray, and Roboflow Supervision, I've worked on memory safety, distributed-system failover, deterministic multithreaded inference, and regression testing. My professional experience includes biomedical hardware-software engineering and cloud engineering support for university research and teaching. I bring hands-on implementation, technical problem-solving, and team leadership to projects that need working prototypes, reliable integrations, or production-minded engineering.