Hi, I'm Fei Xiong

Software Engineer & Research Intern

Recently completed my M.S. in Information Networking at Carnegie Mellon University and working as a Research Intern under Chenyu You.

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Fei Xiong

Fei Xiong

📍 Pittsburgh, PA

🎓 CMU M.S. Information Networking

🔬 Research Intern

About Me

I'm a passionate software engineer and researcher who recently completed my Master's degree in Information Networking at Carnegie Mellon University. With a strong foundation in computer science from NYU and hands-on experience in AI/ML systems, I'm dedicated to building innovative solutions that bridge the gap between research and real-world applications.

Currently, I'm working as a Research Intern under Chenyu You at Stony Brook University, where I'm contributing to cutting-edge research in machine learning and computer vision applications.

My technical interests span across distributed systems, machine learning, web development, and data visualization. I enjoy tackling complex problems and creating efficient, scalable solutions.

5+

Projects

2+

Years Experience

10+

Technologies

4+

Languages

Education

Carnegie Mellon University

Aug 2023 – Dec 2024

M.S. in Information Networking

New York University

Aug 2019 – May 2023

B.S. in Computer Science

Work Experience

Research Intern

Current

Chenyu You, Stony Brook University

  • Contributing to cutting-edge research in machine learning and computer vision
  • Working on projects related to medical image analysis and AI systems
  • Collaborating with the research team on innovative AI solutions

Software Engineer Intern

Jun 2023 – Aug 2023

Tencent

  • Worked on Hunyuan Text-to-Image Generation Model, a key part of Tencent's multimodal AI stack
  • Designed and implemented prompt optimization and pruning algorithms, improving image generation accuracy by 10%
  • Built internal tools to compare outputs and visualize image clarity
  • Automated generation and categorization of over 2.5 million synthetic images
  • Collaborated cross-team to align model outputs with product goals and deployment

Research Assistant

May 2022 – Jun 2023

New York University

  • Researched HNSW (Hierarchical Navigable Small World) Graphs for approximate nearest neighbor (ANN) search
  • Implemented HNSW in C++, and applied performance optimizations (e.g. caching, query frequency heuristics)
  • Evaluated graph pruning strategies, improving query efficiency by 15%
  • Benchmarked ANN performance on datasets with 10M+ high-dimensional vectors

Projects

Doordash+

Spring Hibernate React

Online food ordering platform with REST API via Spring MVC, Hibernate ORM, Spring Security authentication, and ReactJS frontend with Ant Design.

Staybooking

React Spring Boot MySQL

Online stay rental app with React SPA frontend, Spring Boot backend, MySQL database, Google Cloud Storage, and Elasticsearch geo-indexing.

Starlink

React D3.js AWS

Satellite trajectory visualization dashboard using React and D3.js with real-time satellite path animation, deployed to AWS.

Tinnews

Android MVVM Room DB

Tinder-like news app built with MVVM Architecture, swipe interface via CardStackView, Room database with offline mode, and news API integration.

Skills

Programming Languages

Java Python C++ C Go JavaScript HTML/CSS SQL MATLAB C#

Frameworks & Tools

Spring Boot Hibernate React AntD D3.js Jetpack Components Retrofit Room DB

Databases

MySQL Oracle MongoDB

Other Areas

Data Structures & Algorithms OOP Distributed Systems Machine Learning Data Visualization Statistical Analysis

Get In Touch

Location

Pittsburgh, PA

Phone

631-568-2082

Email

fx372@nyu.edu

Current Position

Research Intern under Chenyu You

Send Email Call Me