Nirai Hayakawa

Full-stack / AI infrastructure

I study computer vision, LLMs, and game AI at CU Boulder. In Japan, I build AI products and the infrastructure behind them.

Featured Projects

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Experience

  1. Not A Hotel Inc.

    Software Engineer Intern

    • I work on the backend for Kevin, NOT A HOTEL's AI concierge, and the shared API platform used across the company.
    • I research and implement ways to evaluate AI agents.
    • I use LLM-as-a-judge methods to automate parts of that evaluation.
    • I build evaluation tooling that teams can reuse across AI products.
    • I also work on digital transformation in architecture.
    • I handle several computer-vision tasks.

  2. CyberAgent, Kiwami AI Platform Team

    Full-stack Engineering Intern

    • Built a PoC that split advertising videos into scenes.
    • Improved the performance of a quality-assurance program for generated ads.
    • Built QA deployments that reproduced each branch's Terraform diff.
    • Added end-to-end tests.
    • Implemented feature flags that static analysis could resolve at build time.

  3. CLINKS Corporation

    R&D Product Developer Intern

    • Independently built a PoC from initial design through implementation.
    • Built a speech-to-speech LLM agent system.
    • Prepared the demo for public release and stakeholder review.

  4. Bird Fab Studio

    Software Developer (Part-time)

    • Built an automated texture-packaging system with Python and LLM integration.
    • Reduced review failures to nearly zero and added automatic proofreading and translation.
    • Created documentation for the texture platform.
    • Built internal tools, including native applications.

About

My published computer-vision work predicts VALORANT round outcomes from minimap video. I have also built voice agents, texture tooling, and AI evaluation systems.

At CU Boulder, I study how LLMs behave inside algorithm-evolution frameworks for NP-hard problems.

Latest Writing

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Publications

VALORANT Round Outcome Prediction

Nirai Hayakawa, et al. • 2025

With NAIST, I used TimeSformer to predict VALORANT round outcomes from minimap video.

Ongoing Research

LLM Bias in Algorithm Evolution

Present

Ongoing research into conservative local optimization by LLMs in ShinkaEvolve and OpenEvolve.

Ongoing Projects

AI Agent Evaluation Framework

Software Engineer Intern • Present

At Not A Hotel Inc., I am researching and implementing repeatable AI-agent evaluation with LLM as a Judge.

Certifications

Achievements

Say hello.

For engineering work or research collaborations, email me. LinkedIn works too.

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