栾钰翔

Key Skills

Software

Other

Top Subject Matter

Seismic data processing and machine learning for geophysics

Physics education tutoring and assessment

Top Data Types

Text

Computer Code Programming

Top Task Types

Data Collection

Red Teaming

Transcription

RLHF

Fine-tuning

Freelancer Overview

Academic Research & Programming Projects (University of Hamburg). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, University of Hamburg (2024) and Bachelor of Science, China University of Petroleum (East) (2023). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Teacher / Academic Tutor (Longzhi Education Company)

OtherText

Provided academic tutoring in physics and supported student learning through assessment and structured feedback. Evaluated students’ written or problem-solving responses for correctness, clarity, and usefulness to guide improvement. Developed and delivered practice materials and review plans tailored to different student levels. • Assessed student progress regularly and provided constructive feedback. • Helped students improve exam preparation and classroom performance through targeted guidance. • Developed lesson and practice materials aligned with student learning styles. • Communicated complex concepts clearly using structured explanations.

2025 - Present

Academic Research & Programming Projects (University of Hamburg)

Other

Worked on AI and scientific data evaluation for seismic and geophysical coursework and research while preparing reproducible code and written reports. Performed correctness and usefulness evaluation of coding outputs and analytical results as part of research/project deliverables. Focused on assessing model behavior and analysis quality in machine-learning workflows for seismic denoising and processing. • Prepared scientific reports and presentations summarizing methods and results. • Produced reproducible Python/TensorFlow code supporting coursework and research. • Reviewed literature and translated findings into implementable experimental approaches. • Evaluated outputs for correctness, clarity, and usefulness when documenting results.

2024 - Present

Education

Work History