Based in Brooklyn, NY

Hi, I'm Christine Chen

Software Engineer & AI Trainer specializing in refining, testing, and optimizing large language models and machine learning systems.

Christine Chen

About Me

I am a passionate Software Engineer and AI Trainer dedicated to bridging the gap between raw data and intelligent, reliable AI systems. Living and working in the creative hub of Brooklyn, NY, I bring a detail-oriented and user-focused perspective to machine learning.

Over the past few years, I have successfully contributed to Over 10 major AI projects, handling everything from rigorous model training and prompt engineering to adversarial testing and QA. My hybrid background allows me to not only evaluate AI outputs for human-like alignment but also engineer the software pipelines that support these models.

10+

AI Projects Completed

10+

Years Experience

Featured Projects

A selection of my recent AI training, testing, and software engineering work.

Project 1
AI Training & QA

Medical Domain LLM

Conducted extensive RLHF (Reinforcement Learning from Human Feedback) on a medical diagnostic assistant. Evaluated thousands of prompts for safety, accuracy, and bedside manner.

Python Prompt Engineering
Project 2
Software Engineering

Automated Vision QA Pipeline

Developed a Python-based testing framework to identify edge-case failures in an autonomous driving computer vision model, increasing detection rate of anomalies by 23%.

TensorFlow OpenCV
Project 3
AI Testing

Customer Service Red-Teaming

Led a team of annotators to adversarialy test a fintech customer support bot. Designed complex multi-turn conversation scenarios to expose logic flaws and PII leaks.

Red-Teaming Data Annotation
Project 4
AI Training

Multilingual Sentiment Model

Curated and cleaned a massive dataset of social media posts across 5 languages to train a sentiment analysis model. Validated outputs against human baselines.

NLP Pandas

My Services

Combining software engineering principles with rigorous AI evaluation methodologies.

AI Model Training & RLHF

Guiding language and vision models to behave safely, accurately, and helpfully through meticulously crafted prompts and Reinforcement Learning from Human Feedback.

Adversarial Testing (Red-Teaming)

Systematically attacking AI systems to uncover vulnerabilities, bias, hallucinations, and safety breaches before models are deployed to production.

Software Engineering

Building the robust scripts, APIs, and data pipelines necessary to support large-scale AI testing, dataset curation, and model evaluation processes.

Data Quality Assurance

Reviewing, cleaning, and structuring raw datasets to ensure high-quality inputs, as "garbage in" equals "garbage out" in machine learning.

Technical Skills & Tools

My toolkit bridges traditional software development and modern AI ecosystems. I am comfortable writing code to automate workflows just as much as I am evaluating complex generative outputs.

Prompt Engineering RLHF Model Red-Teaming NLP Data Annotation Python JavaScript / React SQL Git & GitHub APIs PyTorch (Familiar) Pandas / NumPy Jupyter

Let's Connect

Whether you need a software engineer to build out your tooling or an experienced AI trainer to refine your models, I'd love to chat. Based in Brooklyn, available everywhere.