
M.S. student at CLEAR Lab, SUSTech @clearlab-sustech
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The Control and Learning for Robotics and Autonomy (CLEAR) Lab
Data Scientist
June 29, 2026 – Present
mujoco_iiwa7_R800
April 16, 2026 – Present
KUKA LBR iiwa 7 R800 MuJoCo (MJCF) model and motion-control demos: unified end-effector controller with damped-least-squares IK, gravity / inverse-dynamics feedforward, and task-space PD. Tuned to mujoco_menagerie conventions.
View ProjectControl-Note
April 1, 2026 – Present
A concise and intuitive control theory lecture note, designed for engineering applications, in both Chinese and English.
View Projectrobotics-papers
March 9, 2026 – Present
Collection of arxiv robotics papers with Claude Code summaries
View ProjectGimbal_Control
December 27, 2025 – December 27, 2025
An elegent method for 2-Asis gimbal attitude controlling
View ProjectMnist-Diffusion
December 18, 2025 – December 18, 2025
PyTorch Implementation for DDPM on MNIST dataset
View Project6-Axis-AHRS
November 27, 2025 – Present
A robust, standalone 6-Axis (Gyroscope + Accelerometer) Attitude and Heading Reference System (AHRS). Provides two algorithms: Madgwick gradient descent fusion and Extended Kalman Filter (EKF). Includes adaptive features: impact detection with fast recovery, linear motion compensation, and automatic gyroscope bias correction.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in robotics, control systems, and some machine learning, which aligns with a Data Scientist role that might involve sensor data, control, or simulation. The diversity of projects, from theoretical notes to practical implementations, shows a broad interest within these domains. However, the lack of team projects or professional experience beyond a single current role makes it challenging to fully assess cultural fit in a collaborative environment. The 'experienceLevel' being 0, despite a current 'Data Scientist' role, suggests this might be an entry-level or research-oriented position, which needs clarification for a senior role.
Soft Skills & Operational Fit
The candidate's project portfolio indicates a proactive and self-directed learning approach. The focus on personal projects suggests strong intrinsic motivation and problem-solving skills. However, without completed psychometric or English tests, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The project descriptions are concise but lack detail on personal contributions or challenges overcome, which limits the assessment of operational fit.