MEDIA AUTOMATION

Creator-First Video Editing Automation

Targeted ML on audio and vision cutting 80% of manual editing time for short-form creators

Challenge

•Built a video editing automation engine that uses ML peak sound detection to find high-energy, high-engagement segments
•Applies computer vision to detect scene changes and key visual events
•Proposes an auto-edited timeline aligned to audio & visual cues
•Developed a Vue.js frontend with simple upload experience and visual timeline preview
•Controls for templates and export presets tailored to social platforms
•Implemented a Python + Flask backend to handle video processing workloads, orchestrating CV/audio ML steps
•Manage storage, job status, and exports
•Deployed on DigitalOcean, tuned for cost-efficient scaling for a small startup

•Dramatically reduced manual selection and cutting for early users
•Created a solid proof-of-concept for AI-assisted editing geared to social media
•Demonstrated ability to go from idea → ML prototype → deployed app

Event-driven, serverless architecture supporting complex genomic data products without heavy ops