Hi, I'm Jinxuan Li

Software Engineer specializing in data and machine learning, committed to delivering data-driven solutions across analytics, automation, and intelligent systems.

Python
Go
Machine Learning
Data Analytics
Neo4j
PostgreSQL
FastAPI
Apache Spark
JL

Currently

Master Thesis Student at ABB

User Behavior Modeling Research

Quick Facts

🎓 MSc Computer Science at Chalmers
🔬 Research in ML & Data Analytics
🌍 Based in Sweden
💬 Chinese & English

Projects & Experience

A showcase of my work in data science, machine learning, and software engineering

PSide Projects

Financial Public Opinion Analysis System
Chinese Academy of Science Suzhou InstitutionOct 2021 - June 2023
Side Project

Built a comprehensive financial analysis system with multi-layer knowledge graph and advanced NLP capabilities.

Key Achievements:

  • Built multi-layer financial knowledge graph with Neo4j to model entities such as companies, people, and events
  • Developed full NLP pipeline (Python + PyTorch) with BERT + BILSTM + CRF for Named Entity Recognition (NER), Relation Extraction, and Sentiment Analysis
  • Created RESTful APIs with FastAPI for dashboards and downstream systems
Python
PyTorch
Neo4j
BERT
FastAPI
NLP

WWork Experience

Master Thesis Student
ABBJan 2025 - PresentSweden

Conducting thesis research on user behavior modeling via log analysis in the RobotStudio team.

Key Achievements:

  • Normalized event sequences from user logs; used n-grams and Markov Chains to identify frequent interaction patterns and build event graphs
  • Converted event sequences into natural language and applied sBert embeddings with clustering to discover user behavior groups
Python
Machine Learning
NLP
Data Analysis
Clustering
Algorithm Research Engineer
Chinese Academy of Science Suzhou InstitutionOct 2021 - June 2023China

Developed algorithms, knowledge graph and data interfaces for a financial public opinion analysis system.

Key Achievements:

  • Integrated structured and unstructured data for risk control and market analysis
  • Designed and implemented scalable data processing pipelines
Python
Neo4j
Data Engineering
Algorithm Design
Software Engineer
Gf Fund Management Co., LtdJune 2020 - Sep 2021China

Developed data APIs and analysis models for intelligent investment research system.

Key Achievements:

  • Developed data APIs using Go for an Intelligent Investment Research System, enabling visualization and querying of fund and bond information
  • Built Python-based data analysis models for real-time capital market insights, utilizing Apache Spark for large-scale processing
Go
Python
Apache Spark
APIs
Data Visualization

Education

My academic journey in computer science, statistics, and data analytics

Master of Computer Science - Algorithms, Languages and Logic
Chalmers University of Technology2023 - PresentSweden
Current

Relevant Courses:

Algorithms
Advanced Algorithms
Algorithms for Machine Learning and Inference
Design of AI Systems
Computational Skills for Large-Scale Data
Statistics and Machine Learning in High Dimensions
Language-Based Security
Master's Degree of Applied Statistics
University of Chinese Academy of Sciences2018 - 2020China
Completed
Bachelor's Degree of Statistics
Hunan University2014 - 2018China
Completed
T
Technical Skills

Languages

Python
Go
SQL
Bash
PowerShell
Java
JavaScript

Databases

PostgreSQL
MySQL
Neo4j

Tools & Frameworks

Git
Kubernetes
Docker
Azure
Apache Spark
Hadoop
FastAPI

Languages (Spoken)

Chinese
English

Blog & Insights

Sharing thoughts on technology, life experiences, and book recommendations

Latest Articles

Technology
Coming Soon
The Future of Machine Learning in Financial Analytics
Exploring how advanced ML techniques are revolutionizing risk assessment and market prediction in the financial sector.
Machine Learning
Finance
Data Science
8 min read
Technology
Coming Soon
Building Scalable Knowledge Graphs with Neo4j
Lessons learned from implementing multi-layer knowledge graphs for complex entity relationship modeling.
Neo4j
Graph Databases
Data Engineering
12 min read
Life
Coming Soon
Reflections on Cross-Cultural Software Development
Insights from working in different cultural contexts and how it shapes our approach to technology and collaboration.
Culture
Career
Personal Growth
6 min read

Book Recommendations

Designing Data-Intensive Applications
by Martin Kleppmann
Technical

"Essential reading for understanding distributed systems and data architecture."

The Pragmatic Programmer
by David Thomas & Andrew Hunt
Professional Development

"Timeless principles for writing better code and becoming a more effective developer."

Sapiens
by Yuval Noah Harari
Philosophy

"A fascinating perspective on human history and the forces that shape our world."

Stay Updated

I regularly share insights about technology, data science, and personal experiences. Follow me on LinkedIn or reach out via email to stay connected.

Let's Connect

I'm always interested in discussing new opportunities, collaborations, or just having a conversation about technology and data science.

Get In Touch

Whether you're looking for a collaborator on a data science project, want to discuss machine learning opportunities, or simply want to connect, I'd love to hear from you.

Email

nico.lijinxuan116@gmail.com

Phone

+46 79-353 32 46

LinkedIn

linkedin.com/in/jinxuan-li

Location

Sweden

Currently Open To:

  • Full-time opportunities in data science and ML engineering
  • Research collaborations and academic partnerships
  • Consulting projects in data analytics and AI
  • Speaking opportunities at conferences and meetups
Send a Message
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I typically respond within 24-48 hours.