Dstate

Data Scientist

https://talent.gravityer.com/dstate

BUPT

Key Strengths

Extensive experience in research-oriented projects, particularly in embodied AI, vision-language models, and robotic policy learning.
Strong proficiency in Python, indicated by its consistent use across all listed projects.
Demonstrated ability to contribute to cutting-edge research, evidenced by multiple projects associated with top-tier conferences (ICLR, CVPR, ICML, IEEE TGRS).
Experience with diverse technologies including C++, Common Lisp, JavaScript, HTML, CSS, and Shell, showcasing adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history is heavily focused on academic research and personal projects, indicating a strong drive for innovation and deep technical exploration. This aligns well with roles requiring significant R&D or advanced problem-solving. However, the lack of diverse industry experience or team-based project descriptions makes it difficult to fully assess cultural fit in a corporate environment. The current role as 'Data Scientist' at BUPT is recent and lacks details, making it hard to gauge alignment with typical industry practices.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project contributions without details on collaboration, problem-solving approaches, or communication styles.

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Projects

UAGLNet

December 11, 2025 – Present

[IEEE TGRS] The Official Implementation of "UAGLNet: Uncertainty-Aggregated Global-Local Fusion Network with Cooperative CNN-Transformer for Building Extraction"

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X-VLA

September 25, 2025 – Present

[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"

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Isaac-Gr00t-N1.5-Reproduction

August 29, 2025 – August 29, 2025

Reproduction of Isaac-Gr00t-N1.5

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XRobo

April 6, 2025 – June 26, 2025

XRobo — GitHub repository

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LBP

February 23, 2025 – December 15, 2025

[ICML 2025] The Official Implementation of "Efficient Robotic Policy Learning via Latent Space Backward Planning"

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UniAct

January 14, 2025 – November 6, 2025

[CVPR 2025] The offical Implementation of "Universal Actions for Enhanced Embodied Foundation Models"

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DecisionNCE

February 1, 2024 – May 26, 2025

[ICML 2024] The offical Implementation of "DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning"

View Project

Key Strengths

Extensive experience in research-oriented projects, particularly in embodied AI, vision-language models, and robotic policy learning.
Strong proficiency in Python, indicated by its consistent use across all listed projects.
Demonstrated ability to contribute to cutting-edge research, evidenced by multiple projects associated with top-tier conferences (ICLR, CVPR, ICML, IEEE TGRS).
Experience with diverse technologies including C++, Common Lisp, JavaScript, HTML, CSS, and Shell, showcasing adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Dstate

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit