Anna Chau

Machine Learning Engineer & Researcher

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About Me

I'm a Machine Learning Engineer and Researcher pursuing my Master's in Electrical and Computer Engineering with a focus on Machine Learning and Data Science at the University of Southern California. I earned my Bachelor's in Electrical and Computer Engineering from Temple University in Philadelphia, where I discovered my passion for machine learning during my final years.

With expertise spanning theoretical foundations and practical applications, I specialize in developing innovative solutions that translate cutting-edge research into real-world impact. I'm driven by the challenge of making AI more accessible, efficient, and transformative across diverse domains. As I enter into my second year at USC, I find myself intrguied by the emerging impact of AI in the biotechnology world.

MS Electrical & Computer Engineering
3.63 GPA
2+ Years Experience
ML Researcher

Experience

Machine Learning Researcher

Temple University, Computer Fusion Laboratory
August 2023 – May 2024
  • Collaborated on ship hull corrosion detection using computer vision
  • Developed multi-tiered corrosion categorization system
  • Maintained interactive web tool, increasing dataset growth by 30%

Test Engineering Intern

Vicor Corporation
May 2023 – August 2023
  • Conducted comprehensive performance analyses on power converters
  • Enhanced Six Sigma project by optimizing measurement ranges
  • Achieved cost reduction by optimizing testing procedures

Featured Projects

Pocket RAG
Python • FastAPI • Electron • React
A fully offline Q&A system that processes local documents while preserving confidentiality.
  • LoRA fine-tuning of 1.4B-parameter Phi-3-mini model
  • 4-bit INT quantization for 1GB RAM budget
  • Sub-second CPU latency optimization
  • Cross-platform desktop application
Cardiovascular Disease Detector
Python • PyTorch • Signal Processing
Advanced CNN for detecting six cardiovascular diseases from ECG signals.
  • Improved F1-score from 0.83 to 0.89
  • Processed 2.3M raw ECG traces
  • Feature importance analysis via ablation studies
  • Multi-collinearity addressed for optimal diagnostics
Micromouse Autonomous Robot
Python • ROS2 • AWS • Gazebo
Autonomous maze-solving robot with computer vision capabilities.
  • LiDAR 3D point cloud vision system
  • Advanced maze-solving algorithms
  • ML model for flower type identification
  • AWS Cloud integration for processing

Technical Skills

💻

Programming

Python C/C++ Java
🌐

Web Development

React HTML/CSS FastAPI Django REST
☁️

Backend & DevOps

Docker AWS Git EC2 S3
🤖

Data & ML

PyTorch TensorFlow NumPy pandas scikit-learn

Let's Connect

I'm always interested in discussing new opportunities, collaborations, or innovative projects in machine learning and AI.

📧 akchau@usc.edu
📱 +1 (617) 763-1209
📍 Los Angeles, CA