Skip to content
View ivivan's full-sized avatar
🎰
This is the way~
🎰
This is the way~

Block or report ivivan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ivivan/README.md

Hi I'm Ivan πŸ‘‹

Typing intro

⚑ About Me

πŸ‘¨β€πŸ”¬ PhD @ QUT & Degree @ BUAA
πŸˆπŸ• Cat overlord & a delightfully clueless dog
πŸŒƒ Sleeps only after midnight
πŸ¦Ήβ€ Juggling fraud detection and ML roles under one roof
🀬 Hates interviews more than bad data
πŸ’Ή Deeply into crypto and share trading

πŸ§ͺ What I do

class Ivan:
    location = "Brisbane, Australia"
    origin = "China"
    income_streams = ["ML models detecting bad behaviour", "ML models exploring new ideas"]
    pets = {"cat": 1, "dog": 1}
    side_quest = "Share options trading"
    long_term_goal = "Financial freedom"
    current_game = "Nioh 3"

    def vibe(self):
        return (
            "Ships ML into real systems, hunts fraud, runs experiments, "
            "and treats capital allocation like another optimization problem."
        )

πŸ“« Find me

Linkedin Badge Website Badge GoogleScholar Badge Twitter Badge Instagram Badge

Pinned Loading

  1. StudentSuccessAgent StudentSuccessAgent Public

    A Copilot Agent Used for Student Success Project

    Python

  2. FraudTransformer FraudTransformer Public

    Enable the power of Transformer in Fraud Detection

    Jupyter Notebook 1

  3. RAG-based-QASystem RAG-based-QASystem Public

    A simple RAG-based Q&A system using Langchain, Chroma, Ollama.

    Python

  4. SSIM_Seq2Seq SSIM_Seq2Seq Public

    SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data

    Python 39 9