I’m Kai.

I build tools, test systems, and care about accessibility.

I’m Deaf. That shapes how I think about communication, details, and whether technology actually works for people.

Work

DeafBench

DeafBench checks whether speech recognition preserves the information a person actually needs—not only whether the words look close.

DeafBench command-line evaluation showing word error rate, critical-information recall, non-speech recall, speaker attribution, latency, and three detected critical-information failures.
Real output from deafbench compare on the public example files.

See the benchmark demo →

Bug bounty

I’m learning bug bounty work through authorized programs and safe labs. I want to find real problems, write them down clearly, and help get them fixed.

No testing without permission. No pretending a finding is bigger than the evidence.

IT and security

I troubleshoot devices, accounts, and software. I also study how systems fail, then apply what I learn to safer setups and better explanations.

What the numbers show

These are recorded local observations on DeafBench synthetic-v2: 25 samples built around names, times, codes, addresses, and other details that matter. The metadata is published, but the sample-level run artifacts are not, so these values cannot be independently recomputed from this site or a repository checkout.

ModelWERCritical recallMissed details
Granite Speech 4.1 2B18.9%91.9%5
Parakeet TDT 0.6B v222.7%91.9%5
Qwen3-ASR 0.6B26.6%90.3%6
ARK-ASR 0.6B INT826.6%90.3%6

Canonical semantic recall is shown. These are local benchmark results, not endorsements or a public leaderboard ranking. See all integrated models and evidence boundaries.

Notes, writeups, and what I’m learning.

Why I made DeafBench

Speech recognition can be technically close and still lose the one detail that matters.

View the writing archive →

Accessibility

Communication should be clear and inclusive. I build and test with Deaf and hard-of-hearing people in mind.

Security

Security is about people and systems. I focus on practical fixes and plain explanations.

Details

Small details change outcomes. I look closely, ask questions, and keep improving.