Shufeng Chen

I’m an M.S. student in Electrical Engineering at Columbia University, focused on backend infrastructure, systems performance, and applied AI engineering.

My work spans cloud-native services (Kubernetes, microservices, data pipelines) and AI product engineering (retrieval/Q&A, multimodal interaction), with an emphasis on reliability, observability, and clean API design.

  • Backend & systems: distributed services, scheduling/automation, performance debugging and tooling
  • Applied AI: LLM apps, retrieval workflows, evaluation and latency optimization
  • Interactive systems: game/XR engineering with strong focus on runtime performance

Focus

What I enjoy building
Cloud Backend
Microservices, REST APIs, caching, data pipelines
Applied AI
LLM apps, retrieval/Q&A, ML experimentation & evaluation
Systems
Performance debugging, reliability, dev tooling

Internship Experience

Selected highlights
Software Engineer Intern
Jul 2025 – Aug 2025
Tencent · Cloud Computing Group
  • Built backend microservices for distributed inference pipelines on Kubernetes-managed HPC clusters; automated container lifecycle & remote job operations for smoother orchestration.
  • Developed internal cluster management and scheduling APIs (Spring Boot/Security, Redis/MySQL) and integrated cloud metadata synchronization for lifecycle tracking.
  • Improved ingestion/telemetry services by shipping a CLI-based pipeline adopted by 20+ internal apps; enabled high-throughput streaming from 4,300+ edge nodes.
  • Deployed pre-embedding pipelines across Tencent Cloud and AWS (EKS/EC2), improving inference latency by 1.3× and reducing CPU load by 2.2× via caching and preprocessing.
Full Stack Software Engineer Intern
Sep 2024 – Nov 2024
Tree-Graph Research Institute
  • Built a cross-platform crypto analytics app (React Native) with GPT-based insights; summarized 5,000+ news sources using LDA topic modeling.
  • Designed an automated ETL pipeline (Scrapy, AWS Lambda, DynamoDB, EventBridge) and indexed real-time data to OpenSearch; improved search API performance by 33%.
  • Shipped high-performance secrets-detection microservices (Go/Python/Rust) over gRPC + Kubernetes; reduced P95 latency from 170ms to 40ms and supported 10K+ QPS using Bloom-filter warm cache.
  • Implemented serverless remediation workflows (Step Functions + Lambda) and production observability (Prometheus/Grafana, structured logs).
Full Stack Software Engineer Intern
Jan 2023 – Mar 2023
VisionX LLC
  • Developed an ONNX-optimized, real-time environmental monitoring platform with depth-enabled cameras and on-device inference for fire/smoke and pedestrian detection.
  • Led delivery of a PDF Q&A system on AWS (SageMaker/App Runner/S3) with LangChain + React + Express; improved responsiveness via vector caching and prompt tuning.
  • Designed an MLOps rollout pipeline (offline → shadow → live) with Jenkins and Grafana for drift/latency monitoring in field deployments.

Projects

Selected repos from github.com/shufengc

Patton Food

Java • Spring Boot • React • PostgreSQL • AWS

GitHub Repo

A full-stack, cloud-deployed online food ordering web application with clean API design and a modern UI.

  • User registration and login
  • Session-based authentication using Spring Security
  • Password encryption with BCrypt
  • Restaurant/menu browsing with cart and checkout flow

PDF-AI: Conversational PDF Q&A System

JavaScript/TypeScript • React • Express • LangChain • OpenAI

GitHub Repo

An AI assistant that lets users upload PDFs and ask natural language questions about their content.

  • PDF upload & processing pipeline
  • Retrieval + LLM answering with conversation context
  • Responsive chat UI
  • Latency optimizations via caching and request shaping

L2 Game Engine

C++17 • Lua 5.3+ • SDL • Box2D • CMake

GitHub Repo

A cross-platform 2D game engine in C++ with Lua scripting. Designed to host game logic externally while keeping the runtime fast, modular, and easy to extend.

  • C++ core runtime: real-time game loop, scene/actor system, and engine APIs optimized for iteration speed and stable frame updates.
  • Lua scripting + language hosting: externalized gameplay logic and modding; provided script-facing APIs for actor creation, behaviors, and interactions.
  • SDL rendering + input: moved from text-based to 2D real-time gameplay; implemented event-driven input handling and basic audio/bitmap rendering.
  • Box2D physics integration: collision handling, rigid body dynamics, friction, and gravity to support realistic 2D physics gameplay.
  • Joystick support: up to two joysticks with configurable mappings for player control and responsive movement tuning.
  • Cross-platform build: Linux/macOS/Windows build support via CMake toolchain and platform-specific project generation.
  • Shipped a complete game on the engine: Havoc: 300-Seconds Escape (Playable Build)

LinguAR: AR Language Learning with Real-Time Translation & AI Assistant

Unity • C# • iOS ARKit • YOLOX • Google Cloud Translate • Whisper • GPT-4o • AWS Polly

Demo Video

An iOS AR app prototype that combines real-scene recognition, translation, and multimodal tutoring for daily language practice.

  • Built the end-to-end AR learning loop: object recognition (YOLOX) → translation overlay (Google Cloud Translate) → pronunciation output (AWS Polly).
  • Led AR shooting mini-game feature implementation: fixed screen flicker via gameplay screen dynamics; added SFX/VFX + scoreboard and developed interactive bullet models.
  • Integrated voice-first AI tutoring (Whisper STT + GPT-4o + TTS) to enable conversational practice with multimodal I/O.
  • Delivered a usability-tested team prototype with story maps and iterative refinements based on structured user feedback.

Game & XR Projects

Unity / Unreal demos and shipped playable builds

VR Room Simulator

Unreal Engine • Blueprints

Demo Video

A VR walkthrough simulator focused on interaction and environment fidelity, built for real-time performance.

  • Interactive VR navigation with user-friendly scene flow
  • Blueprint-driven interaction logic for rapid iteration
  • Performance-oriented real-time rendering considerations

A2 GO! (AR Location-Based Game)

Unity • C# • Mapbox

Demo Video

An AR experience inspired by location-based gameplay, combining map navigation with AR interactions.

  • Map-based discovery using Mapbox integration
  • AR interactions and UI flows for collection/progression
  • Mobile-first performance and interaction design

RENOVAR (AR Furniture Preview)

Unity • XR/AR • Meta Quest

Project Page

An AR prototype that helps users preview furniture in space before purchase, emphasizing scale, placement, and usability.

  • Virtual placement workflow for in-room visualization
  • Interaction and UI patterns optimized for XR devices
  • End-to-end prototype delivery with structured iteration

The Legend of Zelda (Unity Remaster)

Unity • C#

Playable Build

A Unity remaster-style gameplay prototype focusing on core action-adventure mechanics and moment-to-moment feel.

  • Implemented key gameplay systems (combat/items/progression)
  • Enemy behavior and encounter tuning for gameplay clarity
  • Polished controls and UI feedback loops

Echo Space (Echolocation Adventure)

Unity • C#

Playable Build

A gameplay prototype built around echolocation-style exploration, turning sound-driven feedback into navigation.

  • Core mechanic: reveal environment state through echolocation cues
  • Designed exploration loop to support discovery and tension
  • Implemented interaction and pacing to keep sessions engaging

Chrono Portal: A Journey Home

Unity • C#

Playable Build

A puzzle game centered on portal mechanics, emphasizing level logic, item interactions, and UI clarity.

  • Portal-based puzzle design with staged difficulty progression
  • Inventory UI and interaction system for puzzle tooling
  • Shipped playable build with multiple levels and clear objectives

Publications

Selected papers

Breast Cancer Detection Model Training Strategy Based on Continual Learning

CAIBDA 2022 • Conference Paper

IEEE Xplore

Shufeng Chen, Fenghui Tang.

Global-local Dynamic Adversarial Learning for Cross-domain Sentiment Analysis

Mathematics 11(14):3130 • 2023

MDPI

Juntao Lyu, Zheyuan Zhang, Shufeng Chen, Xiying Fan*.

Contact

Fastest way to reach me