I train foundational Generative AI video models (like those from OpenAI or Google) to understand the physical world. I do this by analyzing AI-generated videos frame-by-frame, identifying microscopic physics errors, hallucinated elements, and scene consistency issues, and using RLHF (Reinforcement Learning from Human Feedback) to correct the model's trajectory.

Traditional AI developers understand code, but they don't always understand cinematic language. My 15 years in live directing and post-production gave me a highly trained "editor's eye." I notice lighting anomalies, spatial continuity errors, and unnatural physics instantly—making my data annotations and prompt engineering significantly more precise than standard QA.

My transition was driven by a relentless pursuit of efficiency. While managing post-production for CoStar Group, I realized Generative AI was the only way to break through production bottlenecks at an enterprise scale. I architected new workflows integrating tools like Adobe Firefly and AI video synthesis into our standard pipelines, which ultimately increased our daily asset output by 312% without sacrificing quality.

Outside of enterprise pipelines, I build independent tools that fuse AI with daily execution. I recently developed an AI-integrated day-trading web platform for real-time market analysis, as well as the 'Volia' protocol—a fitness and nutrition framework powered entirely by AI data structuring and personalized dynamic outputs.

My stack bridges high-end media production and artificial intelligence. For generation, prompt engineering, and data annotation, I utilize Runway Gen-3, Midjourney, Kling, OpenAI platforms, and proprietary RLHF interfaces. For production and workflow architecture, I rely on Premiere Pro, After Effects, Frame.io, and cloud network platforms like LucidLink.

Yes. I am currently open to remote roles worldwide. I am specifically looking for opportunities in AI data annotation, foundational model training, generative video synthesis, and creative operations management where I can build and scale high-fidelity pipelines.