Projects
Production engineering across AI systems, machine learning, and infrastructure.
AI SYSTEMS
End-to-end autonomous systems for the creator economy
Intelligent pipelines that automate content workflows, analyze audience signals, and scale creator operations.
Automates cross-posting, scheduling, and comment replies across your platforms — so you can stop doing the repetitive work and focus on creating.
Vercel: System page on website · DO: Bot runtime, Cron scheduler
Analyzes thousands of YouTube comments to surface your audience's real questions, frustrations, and content gaps — automatically.
Vercel: Dashboard UI, API routes · DO: Ingestion pipeline, Embedding generation, Clustering worker
A fully automated content production pipeline that takes a topic as input and produces a script, voiceover, video, thumbnail, and upload — end to end.
Vercel: System page, Pipeline status UI · DO: Pipeline orchestrator, Media processing workers, Asset storage
Monitors YouTube, Reddit, Twitter, and Discord simultaneously to surface emerging topics in your niche — before everyone else covers them.
Vercel: Dashboard UI, Alert display · DO: Ingestion agents, Embedding pipeline, Trend detection workers, Scheduler
MACHINE LEARNING
Model training, embeddings, clustering, and NLP
Applied ML research turned into production-ready tooling for real-world media and content problems.
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INFRASTRUCTURE
Data pipelines, backend systems, and cloud deployment
The plumbing that keeps everything running — async workers, cloud orchestration, and reliable data flows.
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These projects run on a split infrastructure — frontend and API routes on Vercel, background workers and data pipelines on DigitalOcean.