Cui Jianbin 崔建彬

Jianbin Cui smiling by the water

01 / Experience

Working Experience

02/2025—Now

Software Developer

ToolBX US Inc.

Toronto, Canada
  • Built and maintained ERP integration services in a TypeScript-based e-commerce backend, enabling real-time status tracking and frontend visualization for Orders, Quotes, and Payments.
  • Cut legacy Payment sync runtime by 50% through queryBuilder optimization, indexing, batch operations, and removal of redundant queries.
  • Reduced manual intervention by over 80% in remote dealer terminal automation with robust RPA retry logic.
  • Reached over 95% unit test coverage with Jest, mocks, stubs, and type-safe fixtures.
TypeScriptSQLJestRPA
09/2023—04/2024

.NET Software Developer Co-op

FGF Brands Inc.

Toronto, Canada
  • Developed and continuously improved .NET Core and Framework MVC applications used by 5,000+ employees.
  • Implemented a front-end Access Control System with HTML, CSS, React, and Kendo UI, improving loading speed by 30%.
  • Built an end-to-end Non-Conformance Report system with ASP.NET, covering validation and data processing.
  • Set up Azure DevOps CI/CD pipelines to ship updates on time with no downtime.
.NETReactASP.NETAzure DevOps
02/2022—08/2022

Software Developer Intern

Sinopec Geophysical Corporation

Shandong, China
  • Overhauled the item details module of an internal procurement platform using Java Spring Boot, MySQL, and Hibernate.
  • Reduced query response times and prevented thread blocking with optimized indexes and asynchronous data processing.
JavaSpring BootMySQLHibernate
06/2023—06/2024

AI Research Intern

McMaster University

Hamilton, Canada
  • First author of Interpretable Deep Graph-level Clustering: A Prototype-based Approach, published at ICPR 2024.
  • Proposed an unsupervised, interpretable graph clustering framework implemented with PyTorch.
PyTorchGraph MLResearch

02 / Education

Education

2022—2025

Graduate study

McMaster University

Hamilton, Ontario

Master of Engineering in Computing and Software (Co-op) · GPA 11/12

2018—2022

Undergraduate study

Beihang University

Beijing, China

Bachelor of Engineering in Computer Science and Technology · GPA 89/100 · Rank 10%

03 / Research

Research

Publication · ICPR 2024

Interpretable Deep Graph-Level Clustering: A Prototype-Based Approach

An interpretable deep graph-level clustering framework that groups unlabelled graphs while explaining why each graph belongs to its cluster, validated across six benchmark datasets.

Read paper Source code Jianbin Cui & Lingyang Chu · ICPR 2024 Oral
Graph MLInterpretabilityClustering

04 / Selected work

Project

Open source · 2024 30k+ GitHub stars

Auto_Jobs_Applier_AIHawk

An open-source job application agent powered by large language models, designed to run locally and turn a repetitive workflow into a guided one.

View project Core contributor / collaborator
PythonSeleniumLangChainLLMs

05 / Say hello

Have a system worth making clearer?