Hao X.

Key Skills

Software

Don't disclose

Top Subject Matter

I have no direct experience in medical data labeling. However, in the "Home Medicine Cabinet APP" project, I used EasyOCR for text recognition on medicine images, which involved image preprocessing, result validation, and error filtering – a process similar to automated information extraction from medical images or prescriptions. I also implemented AES encryption to protect user medication data, giving me basic awareness of healthcare data privacy compliance. With Python data processing skills, I can quickly learn medical annotation standards (e.g., ICD coding, medical entity recognition).

I have no direct experience in labeling for financial risk control or fraud detection. However, in multiple back-end projects (e.g., university competition platform, smart campus system), I handled user behavior data and transaction-like records (registrations, logins, file uploads) and implemented data flow control based on state management and permission trees. I am familiar with anomaly detection thinking for structured data (missing fields, format errors) and can write Python scripts for data cleaning and rule-based validation. My practical experience with data consistency and logical integrity can quickly transfer to understanding and applying anti-fraud labeling rules.

I have no direct experience in e-commerce product categorization or customer support labeling. In the WeChat mini-programs "Whale Fall Campus Super话题" and "Haili Smart Campus", I designed and implemented multi-level category filtering for products/content, user feedback ticket systems, and keyword search functions. I am familiar with common e-commerce category tree structures and attribute extraction logic. With full-stack development skills, I can build front-end interfaces for labeling tools (e.g., drag-and-drop category trees, labeling panels) and use Python for batch category mapping. I have a basic understanding of common customer service intents (inquiry, complaint, return/refund) and can quickly learn to perform intent annotation on dialog texts.

Top Data Types

Computer Code Programming

Top Task Types

RLHF

Fine-tuning

Computer Programming/Coding

Function Calling

Evaluation/Rating

Question Answering

Freelancer Overview

Software Development Engineer. Brings 3+ years of professional experience across complex professional workflows, rI do not have direct work experience in data labeling or AI training data. However, through my previous development projects, I have acquired skills that can support data labeling workflows: proficiency in Python for data processing and scripting (e.g., batch format conversion, anomaly detection), and full‑stack development capabilities (Vue, Django/FastApi, PyQt) to build labeling tool interfaces or customized辅助 tools if needed. I am a fast learner, pay high attention to data quality, and am ready to quickly master labeling guidelines and contribute effectively.esearch, and quality-focused execution. Education includes Master of Science, Qingdao University of Science and Technology (2024).

Education

Work History