Anna Chau - ML Engineer & Researcher

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.

BS Electrical & Computer Engineering Temple University, Philadelphia, PA

MS Electrical & Computer Engineering, ML & DS University of Southern California, Los Angeles, CA

3.63 GPA

2+ Years Experience

Experience

Aug 2023 — May 2024

Machine Learning Researcher

Temple University, Computer Fusion Laboratory

Collaborated on advanced computer vision research focusing on maritime infrastructure assessment and automated defect detection systems.

Developed multi-tiered corrosion categorization system for ship hull analysis using state-of-the-art computer vision techniques
Maintained interactive web tool for data collection and annotation, resulting in 30% dataset growth
Implemented machine learning pipelines for automated defect detection and classification

Python Computer Vision Machine Learning Web Development Data Annotation

May 2023 — Aug 2023

Test Engineering Intern

Vicor Corporation

Conducted comprehensive performance analyses on power conversion systems while contributing to Six Sigma quality improvement initiatives.

Performed detailed performance analyses on power converters, ensuring optimal efficiency and reliability
Enhanced Six Sigma project outcomes by optimizing measurement ranges and testing protocols
Achieved significant cost reduction through systematic optimization of testing procedures and workflows

Test Automation Six Sigma Power Electronics Data Analysis Process Optimization

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

Photography

Capturing moments and perspectives through my lens.

San Francisco

Seattle

Palos Verdes

Click any category to explore the full gallery

Technical Skills

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Programming

Python C/C++ Java

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Web Development

React HTML/CSS FastAPI Django REST

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Backend & DevOps

Docker AWS Git EC2 S3

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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

Los Angeles, CA