Plurall AI — Deepfake Detection
Lightweight deepfake detection & generation toolkit. Serving first paid customer package ($500). Built model evaluation harness and minimal inference API.
Computer Science @ NYU • Building things in AI, security, and product.
Previously: research & internships; founder of Plurall AI. I enjoy dancing, skiing, filmmaking, and writing.
A few projects spanning AI, security, and data products.
Lightweight deepfake detection & generation toolkit. Serving first paid customer package ($500). Built model evaluation harness and minimal inference API.
Hands-on labs in appsec & detection engineering. Built small red/blue lab, log pipelines, and alert rules; wrote postmortems on attack chains.
Prompt engineering and shot planning for high-conversion AI ads. Iterative scripts, A/B hooks, and call-to-action testing.
Notes, analysis, and essays.
I’m a junior studying Computer Science at NYU with a minor in Business Studies. Interests include AI safety & detection, security engineering, data products, and media tech.
Outside work, I enjoy dancing, EUC riding, skiing, filmmaking, acting, and trying new food spots in NYC.
Best way to reach me is email. For speaking/projects, include scope, timeline, and links.