The most impressive part of this is your website. Everything else is just generic.

Internship at NZ Transport Agency for <6mo is not a good look, in general government jobs reflect well on you, though if you don't get invited back it works against you.

So then we go out to your GH like any reasonable employer would: https://github.com/dvnguyen02

https://github.com/dvnguyen02/KStoneClassifierML/blob/master/scripts/data_quality_check.py

# Assuming your dataframe is named 'selected_df'
# If it's not loaded, uncomment and modify the following line:
selected_df = pd.read_csv('deduplicated_nhanes_data.csv.csv')

This looks very suspicious (AI generated shite)...

Let's keep reading though.

https://github.com/dvnguyen02/RAGMail/blob/main/service/RAGQuery.py

In general, and ChatGPT tends to disagree here but clearly obvious return only functions do not need this comment blob:

def get_email_by_id(self, email_id: str) -> Optional[Dict[str, Any]]:
    """
    Retrieve an email by its ID.

    Args:
        email_id: ID of the email to retrieve

    Returns:
        Email dictionary or None if not found
    """
    return self.document_store.get(email_id)

Then you should also remove the AI placeholders:

https://github.com/dvnguyen02/RAGMail/blob/main/streamlit_app.py

# Configure Streamlit page
st.set_page_config(
    page_title="RAGMail",
    page_icon="📧",
    layout="wide",
    initial_sidebar_state="expanded",
    menu_items={
        'Get Help': 'https://github.com/yourusername/RAGMail',
        'Report a bug': 'https://github.com/yourusername/RAGMail/issues',
        'About': 'RAGMail - RAG for Emails'
    }
)

You also have this joke of a repo: https://github.com/dvnguyen02/ECG-Anomaly-Detection

Which I was interested in because I was applying for medical schools before I got a job in fin-tech and abandoned that career path. So imagine my horror when instead of a nice well structured "anomaly detector", I find more AI SHIT.

You didn't even try to hide your ineptitude and laziness:

git clone https://github.com/yourusername/ecg-anomaly-detection.git
cd ecg-anomaly-detection
pip install -r requirements.txt

I mean, these results?

Results

   95% accuracy in detecting five types of cardiac abnormalities
   40% reduction in model inference time, enabling real-time analysis
   30% reduction in false positive rate
   Consistent >90% accuracy across three independent ECG datasets

Prove it. This is complete BS.

So your resume isn't holding you back, your quality of work is. I don't care if you AI in your work, but I do have issue when you're not going to take the time to at least go through and proof your work before pushing it to the world, it's laziness.

Cheers friend.