I lead and oversee the strategic direction of the company. Our latest product, VoiceOS, is an operating system for building hyper-realistic voice agents in minutes. VoiceOS lives at the infrastructure level and is built around 3 core principles, reliability, composability, and transparency.

I worked on developing a voice AI platform to control various devices. Additionally, I helped build a ZKP system for secure passwordless authentication.

As I co-founded Interpret Video, I dedicated myself to one mission. Bridging the gap between human-based solutions (translation and voice over) and a fully automated one. I was responsible for building most things starting with the backend infrastructure all the way to make a machine learning based solution. Additionally, I designed and implemented our frontend as well as A/B tested the UI.

I was responsible for building various software automations to further increase productivity of engineers. Notably, programming audio processing interfaces to automatically clean and classify voiceovers.

Fields included: computer science, physics and math.