Experience

China Telecom Corporation Limited

• China
• Telecommunications
• 100 - 200 Employee

• DATA ENGINEER ASSISTANT

  • Dec 2021 - Feb 2022

  Core Responsibilities: • Spearheaded data collection and annotation initiatives using LabelImg, ensuring high-quality dataset creation for machine learning models. • Leveraged MATLAB and Python to transform and model data according to customer specifications. • Maintained data integrity by addressing missing values and rectifying formula discrepancies. • Delivered accurate data inputs promptly, bolstering back-end development operations. Key Achievements: • Boosted… Show more Core Responsibilities: • Spearheaded data collection and annotation initiatives using LabelImg, ensuring high-quality dataset creation for machine learning models. • Leveraged MATLAB and Python to transform and model data according to customer specifications. • Maintained data integrity by addressing missing values and rectifying formula discrepancies. • Delivered accurate data inputs promptly, bolstering back-end development operations. Key Achievements: • Boosted project delivery efficiency by 30% through proficient data manipulation with MATLAB and Python. • Addressed missing data and corrected formula errors, reducing data discrepancies by 25% and improving overall reliability. • Enhanced the development process speed by 20% via valuable insights and strategic direction. Show less Core Responsibilities: • Spearheaded data collection and annotation initiatives using LabelImg, ensuring high-quality dataset creation for machine learning models. • Leveraged MATLAB and Python to transform and model data according to customer specifications. • Maintained data integrity by addressing missing values and rectifying formula discrepancies. • Delivered accurate data inputs promptly, bolstering back-end development operations. Key Achievements: • Boosted… Show more Core Responsibilities: • Spearheaded data collection and annotation initiatives using LabelImg, ensuring high-quality dataset creation for machine learning models. • Leveraged MATLAB and Python to transform and model data according to customer specifications. • Maintained data integrity by addressing missing values and rectifying formula discrepancies. • Delivered accurate data inputs promptly, bolstering back-end development operations. Key Achievements: • Boosted project delivery efficiency by 30% through proficient data manipulation with MATLAB and Python. • Addressed missing data and corrected formula errors, reducing data discrepancies by 25% and improving overall reliability. • Enhanced the development process speed by 20% via valuable insights and strategic direction. Show less



Tuomeng Technology Co.

• China

• AI RESEARCH ENGINEER - MEDICAL IMAGING

  • Jun 2020 - Jul 2021

  Core Responsibilities: • Led a direct team of 8 and collaborated with 7 specialists to complete the automatic labelling and quantitative analysis of the pneumonia project. • Assessed global AI segmentation algorithms, including VB-Net, U-Net, and INF-Net. • Procured 140 CT scans from 80 COVID-19 patients using dual CT scanners. • Constructed a system for automated annotation, 3D visualisation, and quantitative analysis of neocoronal pneumonia. • Migrated project data, models… Show more Core Responsibilities: • Led a direct team of 8 and collaborated with 7 specialists to complete the automatic labelling and quantitative analysis of the pneumonia project. • Assessed global AI segmentation algorithms, including VB-Net, U-Net, and INF-Net. • Procured 140 CT scans from 80 COVID-19 patients using dual CT scanners. • Constructed a system for automated annotation, 3D visualisation, and quantitative analysis of neocoronal pneumonia. • Migrated project data, models, and systems flawlessly to the cloud platform, ensuring data integrity via Python. Key Achievements: • Successfully filed a patent and software copyright application. • Enhanced automatic annotation accuracy to 97%, which outperformed established algorithms. • Achieved real-time 3D modelling segmentation that reduced processing time by nearly 99.8%. • Streamlined manual annotation process, slashing the time to a mere 60 seconds. • Formulated a COVID-19 auto-annotation system, optimising user experience by curbing platform-switching. Show less Core Responsibilities: • Led a direct team of 8 and collaborated with 7 specialists to complete the automatic labelling and quantitative analysis of the pneumonia project. • Assessed global AI segmentation algorithms, including VB-Net, U-Net, and INF-Net. • Procured 140 CT scans from 80 COVID-19 patients using dual CT scanners. • Constructed a system for automated annotation, 3D visualisation, and quantitative analysis of neocoronal pneumonia. • Migrated project data, models… Show more Core Responsibilities: • Led a direct team of 8 and collaborated with 7 specialists to complete the automatic labelling and quantitative analysis of the pneumonia project. • Assessed global AI segmentation algorithms, including VB-Net, U-Net, and INF-Net. • Procured 140 CT scans from 80 COVID-19 patients using dual CT scanners. • Constructed a system for automated annotation, 3D visualisation, and quantitative analysis of neocoronal pneumonia. • Migrated project data, models, and systems flawlessly to the cloud platform, ensuring data integrity via Python. Key Achievements: • Successfully filed a patent and software copyright application. • Enhanced automatic annotation accuracy to 97%, which outperformed established algorithms. • Achieved real-time 3D modelling segmentation that reduced processing time by nearly 99.8%. • Streamlined manual annotation process, slashing the time to a mere 60 seconds. • Formulated a COVID-19 auto-annotation system, optimising user experience by curbing platform-switching. Show less