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Hi, I’m Nini Liu, a Generative AI Engineer with 5+ years of hands-on experience in image and video generation, processing, and post-generation quality optimization. I’ve built and deployed text-to-image and video diffusion systems, visual enhancement pipelines (denoising, super-resolution), and production-grade QA. My work at Cisco on facial and gesture recognition gave me a solid foundation in computer vision and real-world deployments. Most recently I led end-to-end AI agent and generative pipeline initiatives across SaaS and enterprise teams, delivering scalable ML workflows on AWS and in CI/CD pipelines. I enjoy turning complex AI ideas into robust, user-friendly productions, and I thrive in cross-disciplinary teams to ship reliable, high-quality visual content.…Hi, I’m Nini Liu, a Generative AI Engineer with 5+ years of hands-on experience in image and video generation, processing, and post-generation quality optimization. I’ve built and deployed text-to-image and video diffusion systems, visual enhancement pipelines (denoising, super-resolution), and production-grade QA. My work at Cisco on facial and gesture recognition gave me a solid foundation in computer vision and real-world deployments. Most recently I led end-to-end AI agent and generative pipeline initiatives across SaaS and enterprise teams, delivering scalable ML workflows on AWS and in CI/CD pipelines. I enjoy turning complex AI ideas into robust, user-friendly productions, and I thrive in cross-disciplinary teams to ship reliable, high-quality visual content.

Nini Liu

AI Engineer, Data Scientist, Graphic Designer, +2

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Hi, I’m Nini Liu, a Generative AI Engineer with 5+ years of hands-on experience in image and video generation, processing, and post-generation quality optimization. I’ve built and deployed text-to-image and video diffusion systems, visual enhancement pipelines (denoising, super-resolution), and production-grade QA. My work at Cisco on facial and gesture recognition gave me a solid foundation in computer vision and real-world deployments. Most recently I led end-to-end AI agent and generative pipeline initiatives across SaaS and enterprise teams, delivering scalable ML workflows on AWS and in CI/CD pipelines. I enjoy turning complex AI ideas into robust, user-friendly productions, and I thrive in cross-disciplinary teams to ship reliable, high-quality visual content.…Hi, I’m Nini Liu, a Generative AI Engineer with 5+ years of hands-on experience in image and video generation, processing, and post-generation quality optimization. I’ve built and deployed text-to-image and video diffusion systems, visual enhancement pipelines (denoising, super-resolution), and production-grade QA. My work at Cisco on facial and gesture recognition gave me a solid foundation in computer vision and real-world deployments. Most recently I led end-to-end AI agent and generative pipeline initiatives across SaaS and enterprise teams, delivering scalable ML workflows on AWS and in CI/CD pipelines. I enjoy turning complex AI ideas into robust, user-friendly productions, and I thrive in cross-disciplinary teams to ship reliable, high-quality visual content.

Available to hire

Hi, I’m Nini Liu, a Generative AI Engineer with 5+ years of hands-on experience in image and video generation, processing, and post-generation quality optimization. I’ve built and deployed text-to-image and video diffusion systems, visual enhancement pipelines (denoising, super-resolution), and production-grade QA. My work at Cisco on facial and gesture recognition gave me a solid foundation in computer vision and real-world deployments.

Most recently I led end-to-end AI agent and generative pipeline initiatives across SaaS and enterprise teams, delivering scalable ML workflows on AWS and in CI/CD pipelines. I enjoy turning complex AI ideas into robust, user-friendly productions, and I thrive in cross-disciplinary teams to ship reliable, high-quality visual content.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Chinese

Fluent

English

Advanced

Work Experience

DevOps Engineer (Outsourced to Cisco Webex Team) at Zhejiang Insigma International Software, LLC

March 1, 2025 - Present

Led the end-to-end development of the AI Agent platform build pipeline using LangGraph for multi-agent orchestration, and CI/CD processes. Implemented a real-time pipeline log analysis system to proactively monitor build status, agent interactions, and performance metrics, significantly reducing mean time to detect (MTTD) failures. Designed a pre-merge validation system for pull requests to enforce code quality and stability before merging, improving pipeline reliability. Responsible for DevOps operations within Cisco Webex's R&D team, focusing on CI/CD stability and automation.

Generative AI Engineer at PropTexx, LLC

July 1, 2024 - February 28, 2025

Designed and deployed generative AI pipelines for virtual staging and refurbishing using SDXL and FLUX. Led model training and fine-tuning to meet client requirements, and used large language models for prompt generation optimization and image classification tasks to enhance automation. Implemented image post-processing pipelines (denoising, super-resolution, visual enhancements) to raise output quality for production use; established QA processes and MLOps pipelines on AWS; built FastAPI services for scalable deployment.

Generative AI Engineer at Savantz AI, LLC

December 1, 2023 - February 29, 2024

Built text-to-image and image-to-video generation systems based on Stable Diffusion, enabling controllable and realistic content creation. Leveraged GPT APIs to refine prompt text and enhance outputs; applied GANs and ControlNet to improve hands, faces, and overall structural fidelity. Implemented AWS-based MLOps pipelines, automated validation scripts, and production-ready workflows for generative content.

Software Engineer at Cisco Systems (China) Research & Development Co., Ltd.

April 1, 2019 - November 1, 2023

Conducted research on image and video generation algorithms, compared KPIs, selected technologies, and designed image and video processing pipelines. Led multiple deep learning projects to develop and train generative models (GANs, VAEs) and implemented features such as background replacement and gesture recognition to enhance meeting interactivity. Personal project SCTAda, a GAN-based video style transfer model, achieving high quality content with coherent style adaptation; published 'Dynamic Style Adaptation Network: A Comprehensive Approach for Video Style Transfer' (ICIAAI2023).