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Rolly John

Rolly John

Embedded Software Engineer - Electrical Engineering

CHINA flag
chengdu, China
$5.00/hrEntry LevelAws Sagemaker

Key Skills

Software

AWS SageMakerAWS SageMaker

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Top Label Types

Classification

Freelancer Overview

I have hands-on experience in high-accuracy data annotation, particularly with sensor signals such as temperature and motion, as well as automated system logs. My engineering background has given me a strong foundation in handling and labeling technical data for embedded and control systems, ensuring precision and reliability. I am proficient with tools and protocols like SPI, UART, I2C, and CAN, and have worked extensively with STM32 and FreeRTOS platforms. My attention to detail and familiarity with technical documentation and translation enable me to produce clear, consistent, and high-quality training data for AI and machine learning applications in engineering domains.

Entry LevelEnglishChinese Mandarin

Labeling Experience

AWS SageMaker

Data annotation for sensor signals and system logs

Aws Sagemaker3D SensorClassification
I performed high-accuracy data annotation for sensor signals, including temperature and motion data, as part of embedded systems engineering tasks. The work required precise labeling of time-series sensor outputs and automated system logs to facilitate downstream algorithm training and validation. Annotation required careful calibration and validation to ensure engineering standards for data quality and consistency. • Labeled sensor output classes for supervised learning in control system prototypes. • Applied threshold-based and statistical techniques to classify anomalous vs. nominal signals. • Prepared annotated datasets for use in downstream embedded control projects. • Collaborated with technical team to ensure annotation consistency and reliability.

I performed high-accuracy data annotation for sensor signals, including temperature and motion data, as part of embedded systems engineering tasks. The work required precise labeling of time-series sensor outputs and automated system logs to facilitate downstream algorithm training and validation. Annotation required careful calibration and validation to ensure engineering standards for data quality and consistency. • Labeled sensor output classes for supervised learning in control system prototypes. • Applied threshold-based and statistical techniques to classify anomalous vs. nominal signals. • Prepared annotated datasets for use in downstream embedded control projects. • Collaborated with technical team to ensure annotation consistency and reliability.

2021 - 2024

Education

C

Chengdu University of Technology, Engineering and Technical College

Bachelor of Engineering, Electrical Engineering and Automation

Bachelor of Engineering
2020 - 2024

Work History

C

Chengdu University of Technology, Engineering and Technical College

Embedded Software Engineer / Technical Specialist

chengdu
2024 - Present