Jixian Su

Data Scientist

https://talent.gravityer.com/jixian-su

Member since June 26, 2026

Key Strengths

Demonstrated interest in Graph-based Machine Learning and Retrieval-Augmented Generation (RAG) through multiple personal projects (Awesome-GraphRAG, GraphRAG).
Experience with Python for machine learning projects (ML-project-Retrosynthetic-Planning, PromptDecomposer, PromptProfiler, prompt_shapley).
Familiarity with C++ for system-level projects (DynamicGraphStorage, CS2303_Project2, OS2302_Project).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards research and development in AI/ML, particularly in graph-based methods and prompt engineering. This aligns well with an innovative, research-driven culture. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

prompt_shapley

April 13, 2026 – Present

prompt_shapley — GitHub repository

View Project

PromptProfiler

April 11, 2026 – Present

PromptProfiler — GitHub repository

View Project

PromptDecomposer

April 10, 2026 – Present

PromptDecomposer — GitHub repository

View Project

sjx07.github.io

September 30, 2025 – Present

sjx07.github.io — GitHub repository

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GraphRAG

April 2, 2025 – April 2, 2025

GraphRAG — GitHub repository

View Project

Awesome-GraphRAG

January 23, 2025 – March 13, 2025

A list of papers for Graph Retrieval-Augmented Generation (GraphRAG).

View Project

DynamicGraphStorage

January 10, 2025 – March 4, 2025

DynamicGraphStorage — GitHub repository

View Project

ML-project-Retrosynthetic-Planning

June 15, 2023 – June 16, 2023

Retrosynthetic Planning with Machine Learning

View Project

CS2303_Project2

April 10, 2022 – May 19, 2022

CS2303_Project2 — GitHub repository

View Project

OS2302_Project

March 8, 2022 – March 28, 2022

OS2302_Project — GitHub repository

View Project

Key Strengths

Demonstrated interest in Graph-based Machine Learning and Retrieval-Augmented Generation (RAG) through multiple personal projects (Awesome-GraphRAG, GraphRAG).
Experience with Python for machine learning projects (ML-project-Retrosynthetic-Planning, PromptDecomposer, PromptProfiler, prompt_shapley).
Familiarity with C++ for system-level projects (DynamicGraphStorage, CS2303_Project2, OS2302_Project).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Jixian Su

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit