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I'm Tong Fangqiu, an algorithm engineer specializing in large multimodal models and AI-powered content generation. I hold a Bachelor's degree in Electronic Information Engineering (Underwater Acoustics) from Harbin Engineering University and a Master's degree in Electronic Information Engineering from Harbin Institute of Technology. Since 2023, I have been applying deep learning, CLIP-based tasks, diffusion models, and edge-aware deployment to deliver robust AI solutions at Chip One Technologies. I enjoy bridging research and product, collaborating with cross-functional teams to translate complex requirements into scalable AI systems. I continuously explore advanced techniques such as LoRA, QLoRA, and MoE to improve model deployment efficiency and online service performance.…I'm Tong Fangqiu, an algorithm engineer specializing in large multimodal models and AI-powered content generation. I hold a Bachelor's degree in Electronic Information Engineering (Underwater Acoustics) from Harbin Engineering University and a Master's degree in Electronic Information Engineering from Harbin Institute of Technology. Since 2023, I have been applying deep learning, CLIP-based tasks, diffusion models, and edge-aware deployment to deliver robust AI solutions at Chip One Technologies. I enjoy bridging research and product, collaborating with cross-functional teams to translate complex requirements into scalable AI systems. I continuously explore advanced techniques such as LoRA, QLoRA, and MoE to improve model deployment efficiency and online service performance.

Tong Fangqiu

Data Scientist, AI Engineer, Full Stack Developer, +3

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I'm Tong Fangqiu, an algorithm engineer specializing in large multimodal models and AI-powered content generation. I hold a Bachelor's degree in Electronic Information Engineering (Underwater Acoustics) from Harbin Engineering University and a Master's degree in Electronic Information Engineering from Harbin Institute of Technology. Since 2023, I have been applying deep learning, CLIP-based tasks, diffusion models, and edge-aware deployment to deliver robust AI solutions at Chip One Technologies. I enjoy bridging research and product, collaborating with cross-functional teams to translate complex requirements into scalable AI systems. I continuously explore advanced techniques such as LoRA, QLoRA, and MoE to improve model deployment efficiency and online service performance.…I'm Tong Fangqiu, an algorithm engineer specializing in large multimodal models and AI-powered content generation. I hold a Bachelor's degree in Electronic Information Engineering (Underwater Acoustics) from Harbin Engineering University and a Master's degree in Electronic Information Engineering from Harbin Institute of Technology. Since 2023, I have been applying deep learning, CLIP-based tasks, diffusion models, and edge-aware deployment to deliver robust AI solutions at Chip One Technologies. I enjoy bridging research and product, collaborating with cross-functional teams to translate complex requirements into scalable AI systems. I continuously explore advanced techniques such as LoRA, QLoRA, and MoE to improve model deployment efficiency and online service performance.

Available to hire

I’m Tong Fangqiu, an algorithm engineer specializing in large multimodal models and AI-powered content generation. I hold a Bachelor’s degree in Electronic Information Engineering (Underwater Acoustics) from Harbin Engineering University and a Master’s degree in Electronic Information Engineering from Harbin Institute of Technology. Since 2023, I have been applying deep learning, CLIP-based tasks, diffusion models, and edge-aware deployment to deliver robust AI solutions at Chip One Technologies.

I enjoy bridging research and product, collaborating with cross-functional teams to translate complex requirements into scalable AI systems. I continuously explore advanced techniques such as LoRA, QLoRA, and MoE to improve model deployment efficiency and online service performance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Chinese

Fluent

English

Advanced

Work Experience

Algorithm Engineer at Chipone Technologies Co., Ltd.

July 1, 2023 - November 12, 2025

Responsible for the training and optimization of large multimodal models, including CLIP-based tasks such as image-text alignment and cross-modal retrieval. Designed and trained Transformer models to improve generalization and inference efficiency in open-domain content understanding, enhancing video content understanding, video highlight retrieval, and video action recognition. Led the algorithm R&D of an AIGC content generation system (text-to-image generation, image editing, style transfer) with diffusion-model frameworks (Stable Diffusion, ControlNet), achieving over 30% quality improvement. Participated in a mobile gaming graphics-card R&D project, developing the super-resolution network within the algorithm pipeline and implementing AISR, VSR, and EDI-SR algorithms, plus an image quality enhancement network (AIPQ, Local-CE dynamic contrast enhancement). Engaged in R&D of downstream tasks (segmentation, detection) across medical projects (MRI brain segmentation, skin cancer detect

Algorithm Engineer at Chip One Technologies Co., Ltd.

July 1, 2023 - November 12, 2025

Training and optimization of large multimodal models (incl. CLIP-based image-text alignment and cross-modal retrieval); design and training of Transformer models for open-domain content understanding; enhancement of video content understanding, video highlight retrieval, and video action recognition. Led the R&D of AIGC content generation systems (text-to-image generation, image editing, style transfer) using diffusion-based frameworks (Diffusion Models, Stable Diffusion, ControlNet), achieving over 30% improvement in generation quality after fine-tuning and productization. Contributed to mobile gaming graphics card R&D, implementing super-resolution networks (AISR, VSR, EDI-SR) for image quality and game visuals; developed image quality enhancement networks (AIPQ, Local-CE dynamic contrast enhancement) to improve game visuals. R&D of downstream DL tasks including medical imaging (MRI brain segmentation, skin cancer detection), open-world detection, zero-shot object detection, 3D pose