Jinfan Xiang

Software Engineer @ Springer Capital

About

I am pursuing a Master’s degree in Electrical Engineering at Columbia University, with a strong focus on software engineering. My background includes building backend services, full-stack platforms, and machine learning models, supported by solid training in algorithms, databases, and distributed systems. Through my internship and projects, I have worked with Python, Java, SQL, and frameworks such as Spring Boot, Flask, React, and PyTorch. I have experience designing RESTful APIs, deploying containerized applications with Docker, and integrating cloud platforms like AWS and GCP. I am motivated by the challenge of creating reliable, scalable systems and enjoy collaborating with teammates to refine requirements, review code, and deliver solutions. I am eager to continue growing as a software engineer and apply my skills to real-world problems.

Country

United States

City

Jersey City

Industry

Information Technology & Services

Skill

Flask, Python (Programming Language), Microservices, Continuous Integration and Continuous Delivery (CI/CD), Unit Testing, JSON Web Token (JWT), Ant Design, JavaScript, Google Cloud Storage, Google Maps API, Google Compute Engine, Elasticsearch, Gradle, Kotlin, Kotlin Coroutines, Model-view-viewmodel (MVVM), Retrofit, Room Database, Android Jetpack, Java

Experience

Software Engineer

Springer Capital

2025-6 - Present · 1 yr 4 mos

• Developed production-ready microservices for HubSpot and Salesforce data extraction using Flask, PostgreSQL, and Redis • Implemented batch processing, API retries, connection pooling, and structured logging for reliable data processing • Designed RESTful APIs with Swagger documentation, extracting 10+ CRM properties from HubSpot v3 API endpoints with paginated response handling, collaborating closely with managers on requirements and code reviews • Built testing framework with pytest (unit, integration, edge case, performance), covering 8 API endpoints • Deployed containerized applications with Docker across dev, test, and production environments

Research Assistant

Sichuan University

2024-2 - 2024-4 · 3 mos

Sichuan, China

Designed an eye-tracking data acquisition system incorporating infrared emitters, a high-resolution camera, and MEMS mirrors with dual-axis oscillation. Developed an algorithm to calculate the vector between Purkinje image coordinates and segmented pupil centers, enabling precise pupil-centered tracking for corneal reflection analysis.

Research Assistant

Sichuan University

2022-11 - 2023-3 · 5 mos

Sichuan, China

Performed data augmentation on 1,416 dental X-rays using OpenCV, applying filtering and geometric transformations to enhance training datasets. Applied the U-Net semantic segmentation model to eliminate interference of irrelevant information on caries recognition. Introduced and compared different attention modules and trained YOLOv5 on training datasets to identify caries lesions. Adjusted hyperparameters and activation functions, making the mAP@0.5 value reach 0.90 and accuracy reach 0.95.