Founding Engineer | AI Video Editing Platform

Ponder AI is building the future of automated video editing powered by cutting-edge AI.

As a founding engineer, I lead end-to-end development of AI-first systems that analyze, understand, and edit videos with minimal human input. I work across machine learning, full-stack engineering, and media processing to deliver tools that radically speed up the creative workflow for video teams.

What I’m building at Ponder:

Intelligent video pipelines that detect scene structure, emotion, motion, and audio cues

ML-powered tools for B-roll selection, storyboarding, and automated rough cuts

Train, fine tune and deploy ML models

Scalable cloud infrastructure for real-time and batch processing of large video assets

Integration with LLMs, Twelve Labs, Gemini, and FFmpeg for multi-modal reasoning

Focus Areas:

ML model orchestration for video understanding

Serverless backend systems (GCP, Cloud Run)

Custom edit planning logic for real estate and branded content

Collaborative AI workflows between humans and models

Ponder AI is rethinking how video gets made—from hours of manual work to minutes of intelligent automation.

As one of the founding engineers, I helped bring Piano Cafe to life—a gamified piano learning app that turns your keyboard into a controller and transforms practice into play.

Key Contributions:

Designed and developed core game mechanics using Unity and C#

Engineered real-time MIDI integration to map physical piano input to interactive game events

Led the development of adaptive learning loops that personalize difficulty and feedback

Shipped the app to early users, focusing on making piano practice engaging, social, and fun

Piano Cafe gives users a reason to come back to the keys—not to "learn," but to play. It's piano practice reimagined through the lens of gaming.