Experience

  1. AI Engineer / Researcher

    TradingAgents (Personal Project)
    Designed and implemented a multi-agent large language model platform for financial analysis with specialized AI roles. Engineered privacy-compliant, fully local LLM system using Qwen, LLaMA3, and other models without cloud dependency.

  2. Machine Learning Researcher

    Fermilab
    Developed and optimized neural network models for FPGA deployment in neuroscience applications. Led collaborative projects on neural signal reconstruction and participated in Fermi workshops.

  3. Software Engineer

    NeuroLux Inc.
    Implemented multi-device recording software and optimized data storage and retrieval using C# and SQL. Improved UI design resulting in increased customer engagement.

Education

  1. PhD Electrical and Computer Engineering

    University of Illinois Chicago (UIC)
    GPA: 3.7/4.0 Currently a PhD candidate focusing on machine learning applications in signal processing and LLMs. Research includes multi-agent LLM platforms and neural network optimization for hardware deployment. Published at IEEE VLSI Test Symposium and contributed to neuroscience ML projects.
    Read Thesis

  2. M.Sc. Electrical and Computer Engineering

    University of Illinois Chicago (UIC)
    Specialized in AI and machine learning with coursework and projects on neural networks, signal processing, and embedded ML systems. Developed ML models for sputtering parameter estimation and neural signal reconstruction.

  3. Bachelor of Engineering

    Northeastern University, Shenyang, China
    Graduated with Merit-Based Scholarship (Top 15%). Focused on electrical engineering fundamentals and AI-related coursework.
Skills & Hobbies
Technical Skills
Python

Proficient in Python for machine learning, deep learning (PyTorch), and data processing.

Machine Learning & AI

Experience with neural networks, transformers, autoencoders, and multi-agent LLM frameworks.

SQL & Databases

Designed and maintained SQL databases for device data management and analytics.

Signal Processing

Applied Discrete Cosine Transform and other techniques for neural and material science data.

Hobbies
Hiking

Enjoy exploring nature and staying active outdoors.

Cooking Sichuan Cuisine

Passionate about cooking and experimenting with authentic Sichuan dishes.

Pokémon Trainer

Avid Pokémon enthusiast and strategy player.

Awards
TradingAgents Multi-Agent LLM Platform
Personal Research Project ∙ July 2025
Designed and implemented a modular multi-agent large language model system for financial analysis, decomposing complex workflows into specialized AI roles with asynchronous communication. Built a fully local, privacy-compliant LLM platform integrating Qwen, LLaMA3, and Ollama-compatible models, enabling secure, cloud-independent operations and seamless multi-model orchestration.
Merit-Based University Scholarship (Top 15%)
Northeastern University, Shenyang ∙ September 2019
Awarded multiple times (2019–2021) for outstanding academic performance in engineering.
IEEE 42nd VLSI Test Symposium Publication
IEEE ∙ April 2024
Published innovative research on AlN sputtering parameter estimation using multichannel parallel DCT neural networks, advancing ML applications in material science.
Fast ML Workshop Contribution
Fermilab / IEEE ∙ November 2024
Presented research on neural signal reconstruction and FPGA-based neural network optimization in neuroscience at Fermi workshop.
Coursera – Neural Networks and Deep Learning
Coursera ∙ November 2023
Completed foundational deep learning course covering vectorized networks, architecture design, and practical applications.
Languages
100%
English
84%
Chinese
26%
Japanese