陈世昆

Data Scientist

https://talent.gravityer.com/candidate-50

Member since June 19, 2026

Key Strengths

Extensive personal project experience in Machine Learning and Deep Learning, indicating strong self-motivation and practical application skills.
Demonstrated proficiency in Python across numerous projects, which is a core requirement for Data Scientist roles.
Experience with various ML/DL frameworks and tools such as Pycaret, PyTorch, and Jupyter Notebooks.
Exposure to advanced topics like Reinforcement Learning from Human Feedback (RLHF), Multi-View Clustering, Evolutionary Multitasking, and LLM-driven heuristics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily focused on personal research and academic-style projects, which may indicate a strong drive for theoretical exploration and problem-solving. However, the lack of team-based or industry-specific projects makes it difficult to assess collaboration skills or fit within a typical corporate environment. The projects align well with a research-oriented Data Scientist role.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

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Projects

LLM-Scheduling

May 29, 2026 – Present

LLM-guided simulation optimization for multi-objective FJSP

View Project

HPR-GenRM

May 23, 2026 – Present

Hierarchical Process-Level Generative Reward Model for offline RLHF reward labelling

View Project

LLM_CO

April 20, 2026 – Present

Quality-Diversity LLM-Driven Heuristic Design — reference implementation for IEEE TEVC submission

View Project

CoSAEM

April 14, 2026 – Present

CoSAEM: Cooperative Surrogate-Assisted Evolutionary Multitasking for Expensive Constrained Multiobjective Optimization

View Project

QASEF

April 6, 2026 – Present

Quality-Aware Spectral Embedding Fusion for Robust Multi-View Clustering

View Project

graph-flow-matching

March 18, 2026 – Present

graph-flow-matching — GitHub repository

View Project

Weilai_Jiepai

March 18, 2026 – Present

Railway DMS API Gateway and OCR table extraction tools

View Project

flow-matching-tabular-code

March 16, 2026 – Present

PyTorch implementation of product manifold flow matching for mixed-type tabular data generation

View Project

pycaret-streamlit

February 4, 2021 – March 8, 2022

An End-to-End Machine Learning Web Application for Classification and Regression problem using AutoML framework Pycaret.

View Project

Master-Thesis

April 25, 2018 – September 28, 2018

All Code of my Master Thesis about Machine Learning and Deep Learning

View Project

Key Strengths

Extensive personal project experience in Machine Learning and Deep Learning, indicating strong self-motivation and practical application skills.
Demonstrated proficiency in Python across numerous projects, which is a core requirement for Data Scientist roles.
Experience with various ML/DL frameworks and tools such as Pycaret, PyTorch, and Jupyter Notebooks.
Exposure to advanced topics like Reinforcement Learning from Human Feedback (RLHF), Multi-View Clustering, Evolutionary Multitasking, and LLM-driven heuristics.

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 are available.

陈世昆

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit