Meet Our Experts

Pioneers in AI-powered video enhancement, our expert team spans video restoration, software evaluation, and advanced multimedia technology. Through rigorous testing, research, and real-world application, they help users unlock the full potential of modern video tools in a fast-evolving digital landscape.

Leadership

David Jia

David Jia

Founder & Head of AI

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David Jia is the Founder and Head of AI at UniFab, leading the company's long-term vision in AI-powered video enhancement and intelligent media technologies. Over the past decade, he has driven the development of UniFab's core AI technologies, including video upscaling, denoising, HDR enhancement, and restoration workflows. He frequently attends AI imaging and creator technology conferences in Asia and Europe, and has a long-term interest in film restoration and classic cinema preservation.
Kevin Zhou

Kevin Zhou

Chief Technology Officer

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Kevin Zhou oversees UniFab's engineering architecture and infrastructure. He specializes in GPU acceleration and large-scale AI deployment pipelines, ensuring stable and scalable enhancement performance across platforms. Outside of work, Kevin enjoys mechanical keyboards, PC hardware optimization, and follows developments in high-performance computing closely.

Product Team

Konor Xu

Konor Xu

Product Operations & User Experience Manager

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Konor (Community nickname Konor-Xu) is responsible for UniFab's product operations, user community management, and cross-team product coordination. He focuses on improving product workflows, collecting user feedback, optimizing feature communication, and maintaining long-term relationships with creator communities and power users. He also contributes to portions of UniFab's website experience and desktop client interface design, helping bridge product strategy with real user behavior. Outside work, he enjoys photography and often researches AI-assisted creative tools and digital creator trends.
Ethan Mitchell

Ethan Mitchell

Product Manager

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Ethan (Community nickname Ctrl+Y) leads product strategy and feature planning at UniFab. He focuses on aligning AI capabilities with creator workflows and improving usability across desktop and cloud-based enhancement products. He regularly researches creator economy trends and has attended multiple AI creator and digital media exhibitions in Shanghai and Tokyo.
Joshon Liu

Joshon Liu

Video Processing Specialist

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Joshon (Community nickname Ctrl+Z) specializes in video quality optimization, including frame enhancement, artifact reduction, and color correction. He works closely with the AI and QA teams to refine enhancement workflows. He is also a movie enthusiast with a personal collection of restored classic films and enjoys studying color grading styles from different film eras.

R&D

Development Team

Development Team

Website & Client Development

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UniFab's Development Team consists of over 20 engineers specializing in desktop applications, backend infrastructure, frontend systems, and multimedia engine development. The team includes Mac client engineers, web developers, UI/UX designers, and AI infrastructure specialists working collaboratively across product and engineering workflows. Several members have backgrounds in creator tools, multimedia software, and interactive experience design. Responsible for UniFab's desktop client development, Apple Silicon optimization, website engineering, cloud task systems, UI/UX implementation, multimedia framework integration, and global user experience optimization. The team also supports AI feature deployment and product performance improvements across Windows and macOS platforms.
Romania Algorithm Team

Romania Algorithm Team

Model Training and Research

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UniFab's Romania Algorithm Team consists of more than 15 AI researchers and algorithm engineers focusing on advanced video restoration and enhancement technologies. The team collaborates closely with UniFab's engineering department on AI model training, visual quality evaluation, and inference optimization. Several members actively participate in European AI imaging workshops and multimedia research conferences, with strong interests in computational photography and digital cinema technologies. Responsible for AI video restoration research, frame interpolation, denoising, HDR enhancement, detail reconstruction, motion estimation, and AI model optimization for large-scale enhancement workflows.

Editorial Team

Echo Drewer

Echo Drewer

UniFab Editor

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Echo is a content contributor specializing in video restoration and quality improvement. With a strong interest in repairing damaged or low-quality footage, she creates in-depth software reviews and practical restoration guides that help users confidently apply video repair techniques. Outside of her work, Echo is an anime enthusiast and enjoys playing badminton, balancing technical focus with creative inspiration and an active lifestyle.

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Harper joined the UniFab team in 2024 and focuses on video technology–related content. With a blend of technical insight and hands-on experience, she produces authoritative software reviews, clear user guides, technical blogs, and video tutorials that help users better understand and work with modern video tools. Outside of work, Harper enjoys photography, outdoor activities, and video editing, often exploring visual storytelling through creative practice.

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Uyu Carter

Uyu Carter

UniFab Editor

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Uyu is a film restoration specialist and cinema technology researcher, with an academic background in film studies from King's College London. Her work focuses on digital film restoration, archival preservation, and AI-assisted image reconstruction for classic and damaged films. With a strong interest in how modern algorithms can revive historical footage, Uyu closely follows the intersection of cinema heritage and emerging restoration technologies, particularly in color recovery, frame reconstruction, and visual clarity enhancement.

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Chloe is an AI-focused video technology enthusiast and technical editor at UniFab, with a background in computer vision from the University of Washington. Her interests center on AI-powered video enhancement, upscaling, and restoration, as well as modern video codecs. She closely follows how artificial intelligence is transforming video quality and post-production workflows.

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