I'm Evan, a scientist and research engineer. I build on-device AI/ML systems that leverage audio, speech, and language models to solve human-centered problems. In my free time I'm a musician, creative coder, cyclist, and photographer. This site hosts a mix of my personal and professional projects. All views expressed here are my own.
Featured Projects
- Feb '26 – Mirage: A new breed of sampler, powered by tiny generative audio models
- Feb '25 – Mishearings: Hacking a tiny ASR model to write Dadaist poetry
- Jan '25 – A private ambient listener for homes and offices
- Oct '24 – Moonshine: Industry-leading speech recognition models for edge devices
- May '24 – Teaching things to think: Bootstrapping on-device reasoning for smart devices
- May '23 – Sasha: Introducing LLMs for reasoning in smart homes
- Feb '18 – Turning sea levels into music with CSV to MIDI
All Posts
Mishearings: Hacking a tiny ASR model to write Dadaist poetry
What happens when you force a tiny speech recognition model to find patterns in mangled speech?
Moonshine: Industry-leading speech recognition models for edge devices
I'm a core contributor to these speech-to-text models released by Moonshine AI. They're 5x faster than Whisper with higher accuracy!
Teaching things to think: Bootstrapping on-device reasoning for smart devices
How can you train smart devices to reason about their actions and state? That's what I investigated in this IEEE PerCom '25 paper.
Adding eurorack features to a tape recorder
A brief write-up of my hardware hacking project to add independent audio outputs and gates to a TASCAM Porta 03 tape recorder.
Sasha: Introducing LLMs for reasoning in smart homes
I built the first LLM-powered smart home, then published the results in this ACM IMWUT paper. I was honored to receive an ACM Distinguished Paper Award for this work.
