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Kane Ren

Kane Ren

AI Algorithm Intern — Kingsoft Office

China flagShenzhen, China
$20.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Document Intelligence
Office Automation
Business Data

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Data CollectionData Collection
Text GenerationText Generation
Computer Programming/CodingComputer Programming/Coding
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

With a strong background in AI algorithm development and data labeling, I have worked on a variety of projects that involve structured data extraction, anomaly detection, and model evaluation. At Kingsoft Office, I contributed to improving the accuracy and efficiency of document and form extraction systems, leveraging LLM/VLM inference to process large-scale data. I also developed an anomaly detection model for industrial production at CISDI, applying machine learning algorithms to identify key abnormalities and optimize production processes. My skills include Python programming, data processing with Pandas and asyncio, and machine learning model development, which I have utilized to enhance the training and performance of AI models in real-world applications. I am currently pursuing a Bachelor's degree in Data Science and Big Data Technology at Southern University of Science and Technology (SUSTech), where I have excelled in core courses such as Distributed Storage and Parallel Computing, Database Systems, and Big Data Analysis Software. I am also set to continue my studies at the National University of Singapore (NUS) in the field of Computer Engineering with a focus on Machine Intelligence and Applications. My academic background equips me with strong analytical and computational skills, which are further enhanced by practical coursework in machine learning, deep learning, and AI applications.

IntermediateEnglish

Labeling Experience

AI Algorithm Intern — Kingsoft Office

TextEntity Ner Classification
I contributed to extracting structured information from documents and forms by leveraging LLM/VLM inference in an office scenario. My work involved validating extraction results using both rule matching and large model reasoning, thus increasing extraction accuracy. I accelerated data evaluation workflows by developing concurrent processing modules and error diagnosis systems. • Supported extraction from text, tables, and image fields in office documents. • Increased extraction accuracy by 10% through enhanced validation workflow. • Provided error diagnosis reports for AI feature deployment and model iteration. • Utilized Python, asyncio, and JSON data processing for efficient information extraction.

I contributed to extracting structured information from documents and forms by leveraging LLM/VLM inference in an office scenario. My work involved validating extraction results using both rule matching and large model reasoning, thus increasing extraction accuracy. I accelerated data evaluation workflows by developing concurrent processing modules and error diagnosis systems. • Supported extraction from text, tables, and image fields in office documents. • Increased extraction accuracy by 10% through enhanced validation workflow. • Provided error diagnosis reports for AI feature deployment and model iteration. • Utilized Python, asyncio, and JSON data processing for efficient information extraction.

2026 - 2026

Research Assistant, Cheung Kong Graduate School of Business

OtherTextData Collection
I gathered and organized large datasets focused on AI, corporate revenue, and talent mobility, supporting ongoing digital transformation research projects. Responsibilities included preparing structured input data and coordinating its use in training and testing AI models. My work played a key role in enhancing data resources for AI research in academic and commercial contexts. • Automated and scripted bulk data crawling and preprocessing tasks. • Prepared and annotated datasets for integration with training workflows. • Supported iterative improvement of AI models using curated datasets. • Built connections between raw data, AI training, and business research outputs.

I gathered and organized large datasets focused on AI, corporate revenue, and talent mobility, supporting ongoing digital transformation research projects. Responsibilities included preparing structured input data and coordinating its use in training and testing AI models. My work played a key role in enhancing data resources for AI research in academic and commercial contexts. • Automated and scripted bulk data crawling and preprocessing tasks. • Prepared and annotated datasets for integration with training workflows. • Supported iterative improvement of AI models using curated datasets. • Built connections between raw data, AI training, and business research outputs.

2024 - 2024

Research Assistant, Cheung Kong Graduate School of Business

OtherTextData Collection
I collected and organized AI-related datasets, including corporate revenue, AI talent, and talent mobility data. The process involved web scraping, preprocessing, and dataset preparation tailored for downstream model training and evaluation. Supporting the training and debugging of AI models enhanced our team’s data analysis capabilities. • Used Octopus RPA and Python for automated web data acquisition. • Structured and cleaned datasets to ensure annotation-readiness for AI training. • Assisted in the full data pipeline from collection to model evaluation. • Contributed to research on digital transformation in business school projects.

I collected and organized AI-related datasets, including corporate revenue, AI talent, and talent mobility data. The process involved web scraping, preprocessing, and dataset preparation tailored for downstream model training and evaluation. Supporting the training and debugging of AI models enhanced our team’s data analysis capabilities. • Used Octopus RPA and Python for automated web data acquisition. • Structured and cleaned datasets to ensure annotation-readiness for AI training. • Assisted in the full data pipeline from collection to model evaluation. • Contributed to research on digital transformation in business school projects.

2023 - 2023

Education

S

Southern University of Science and Technology

Bachelor of Science, Data Science and Big Data Technology

Bachelor of Science
2022 - 2026
N

National University of Singapore

Bachelor of Engineering, Computer Engineering - Machine Intelligence and Applications

Bachelor of Engineering
2026

Work History

C

CISDI Engineering

Algorithm Intern

Chongqing
2026 - 2026
K

Kingsoft Office

AI Algorithm Intern

Beijing
2026 - 2026