Cheng Chien 錢承

Top Skills:

Machine Learning, Computer Vision, AI Agents & Recommendation Systems, Image & Video Processing

CV / Resume
Portrait of Cheng Chien

Work Experience

View full experience

Feb 2025 – Present

Machine Learning Engineer

Perfect Corp.

Full-time · Taiwan

Computer Vision Model Development & Integration

  • Trained an image-quality assessment model for challenging lighting conditions through dataset curation, synthetic data generation, and model evaluation. Integrated the model into a web-based proof of concept to address enterprise client requirements.

AI Agents & Recommendation Systems

  • Developed an AI agent for personalized recommendations, integrating visual analysis, large language models, and image generation. Added multilingual interfaces and report generation to support the complete user workflow.

Cross-Platform Image & Video Engineering

  • Built and optimized a Python proof of concept for video face processing, including metadata APIs and visual quality improvements. Ported and validated image-processing features across Web, iOS, and Android, and adapted photo-based controls for video workflows.

Selected Publications

Publications

About

Machine Learning Engineer at Perfect Corp. with experience in computer vision model development, AI agents, and image and video processing. My work spans data preparation, model training and evaluation, and integration into web-based prototypes and cross-platform applications.

I hold a Master’s degree in Computer Science from National Yang Ming Chiao Tung University. My master’s research focuses on machine learning, computer vision, image compression, and multimodal large language models (MLLM). My master’s thesis, titled “ComNeck: Bridging Compressed Image Latents and Multimodal LLMs via Universal Transform-Neck,” combines learning-based image compression with a multimodal language model. This research was published at ICLR 2025.

During my graduate studies, I participated in several National Science and Technology Council (NSTC) projects and collaborated with my lab members to publish research in top-tier international conferences such as ICCV, APSIPA ASC, and ISCAS. Through these experiences, I developed strong technical skills, cooperation, and communication abilities. I am proficient in Python and experienced in using PyTorch to build the machine learning model, with expertise in handling the entire workflow from data preprocessing to model training. Additionally, I studied in the Philippines for three months after graduation, where I demonstrated my adaptability to new environments and my capability to perform independently across different cultures and languages. This further strengthened my ability to communicate, coordinate, and resolve issues in English.

During my undergraduate studies, I maintained excellent academic performance, receiving multiple academic awards. At the same time, I served as the president of a student club, where I successfully organized large-scale events with over 100 participants. This role shows my strong ability on leadership, time management, and multitasking skills.

I earned my M.S. in Computer Science from National Yang Ming Chiao Tung University in 2024, under the guidance of Prof. Wen-Hsiao Peng. Prior to this, I completed my B.S. in Computer Science and Engineering at National Sun Yat-sen University in 2022.

Feel free to reach out via email or connect with me on LinkedIn.