Open to opportunities

Dylan Kuneman

@dylankuneman

Computer Science student and software engineer building backend and AI systems that automate reliable, scalable workflows.

United States

Message

What I'm looking for

I’m looking for backend-focused work building distributed, AI-powered automation—where I can design scalable architectures, integrate LLM agents reliably, and ship secure, testable systems with a collaborative team.

I’m a motivated Computer Science student with strong foundations in software engineering, systems programming, and backend development. I’ve built multi-agent AI systems to automate browser-based tasks using LLM-driven decision making, and I focus on designing orchestration that’s dependable in real-world conditions.

In my work, I develop scalable, modular backend architectures and reliable software through careful verification, fallback strategies, and human-in-the-loop clarification for low-confidence outputs. I’ve also integrated real-time communication with WebSockets and FastAPI, and used the Gemini API to support reasoning and dynamic interaction while maintaining secure, testable engineering practices.

Experience

Work history, roles, and key accomplishments

Software Engineer - AI Systems

University of Central Florida

Aug 2025 - May 2026 (9 months)

Developed a multi-agent LLM system to automate browser-based tasks, designing orchestration, execution, verification, and fallback agents to improve reliability and task success rate. Built a human-in-the-loop clarification workflow and implemented interactive FastAPI/WebSockets backend integration with the Gemini API.

Python LLM fastAPI WebSockets Gemini API Prompt Engineering Human In The Loop Backend