Xiang Feng

Data Scientist

https://talent.gravityer.com/xiang-feng

From CG/3DV, Into Physical AI | CS PhD at UCSD | M.Eng & B.Eng at ZJU

University of California

Key Strengths

Strong foundation in C++ and Python, essential for data science and computational tasks.
Extensive experience with graphics and simulation projects (e.g., Asuna, pbstf, MultiviewCorrespondence), indicating strong mathematical and algorithmic skills.
Familiarity with web technologies (JavaScript, HTML, CSS) for potential data visualization or web application integration.
Experience with CMake suggests proficiency in managing complex C++ projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and highly technical, focusing on graphics, simulation, and low-level programming. While demonstrating strong technical aptitude, the diversity of projects directly related to traditional data science applications (e.g., statistical modeling, machine learning pipelines, big data) is limited. The single listed professional experience as 'Data Scientist' at University of California lacks details, making it difficult to assess alignment with typical industry data scientist roles. The candidate's profile suggests a strong research or academic inclination, which may or may not align with a specific company culture.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

arm-aigc.github.io

November 14, 2024 – April 4, 2025

ARM: Appearance Reconstruction Model for Relightable 3D Generation

View Project

pyACVD

September 18, 2024 – September 19, 2024

pyACVD — GitHub repository

View Project

gaussiansplashing.github.io

July 21, 2024 – December 3, 2025

gaussiansplashing.github.io — GitHub repository

View Project

pyatlas

June 13, 2024 – September 18, 2024

python wrapper of microsoft UVAtlas

View Project

pbstf

November 29, 2023 – May 27, 2024

This repo implements paper Position-Based Surface Tension Flow (SIGGRAPH Aisa 2022)

View Project

simswitch

October 20, 2023 – October 20, 2023

First step to simulation. Homework for GAMES 103/201.

View Project

Illumination-AR

February 5, 2023 – February 21, 2023

Illumination-AR for CV2023 Course Project

View Project

MultiviewCorrespondence

June 17, 2022 – February 27, 2023

Given a scene composed of mesh instances and a pair of reference view and source view, this project generates pixelwise correspondence between these views.

View Project

Asuna

April 2, 2022 – March 17, 2024

Asuna is a path tracer base on vulkan ray tracing pipeline with NVIDIA card.

View Project

typora-feng

November 28, 2021 – November 28, 2021

A custom typora theme for writing academic manuscript/weekly report.

View Project

Key Strengths

Strong foundation in C++ and Python, essential for data science and computational tasks.
Extensive experience with graphics and simulation projects (e.g., Asuna, pbstf, MultiviewCorrespondence), indicating strong mathematical and algorithmic skills.
Familiarity with web technologies (JavaScript, HTML, CSS) for potential data visualization or web application integration.
Experience with CMake suggests proficiency in managing complex C++ projects.

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.

Xiang Feng

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit