Skip to content
View ledao-chen's full-sized avatar

Block or report ledao-chen

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
ledao-chen/README.md

Hi there, I'm Ledao Chen ๐Ÿ‘‹

Senior AI/ML Engineer | Data Scientist

Welcome to my GitHub profile! I'm passionate about leveraging artificial intelligence and machine learning to solve complex real-world problems and drive data-driven decision making.


๐Ÿ”— Connect with Me

LinkedIn GitHub Portfolio


๐Ÿš€ About Me

I'm a Senior AI/ML Engineer and Data Scientist with extensive experience in designing, developing, and deploying machine learning models and AI solutions at scale. My expertise spans the entire ML lifecycleโ€”from data collection and preprocessing to model development, deployment, and monitoring in production environments.


๐Ÿ’ป Technical Skills

Languages

Python R SQL Java Scala

Machine Learning & Deep Learning

  • Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM
  • Techniques: Supervised & Unsupervised Learning, Deep Learning, Reinforcement Learning, Transfer Learning
  • Specializations: Computer Vision, Natural Language Processing (NLP), Time Series Analysis, Recommendation Systems

Data Science & Analytics

  • Libraries: Pandas, NumPy, SciPy, Matplotlib, Seaborn, Plotly
  • Statistical Analysis: Hypothesis Testing, A/B Testing, Bayesian Statistics
  • Data Engineering: ETL Pipelines, Data Warehousing, Feature Engineering

MLOps & Deployment

  • Tools: Docker, Kubernetes, MLflow, Kubeflow, Airflow
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), GCP (Vertex AI, BigQuery), Azure (ML Studio)
  • Model Serving: FastAPI, Flask, TensorFlow Serving, ONNX

Big Data Technologies

  • Apache Spark, Hadoop, Kafka, Databricks, Snowflake

Version Control & Collaboration

  • Git, GitHub, GitLab, DVC (Data Version Control)

๐ŸŽฏ Areas of Expertise

  • โœ… End-to-end ML pipeline development and optimization
  • โœ… Large-scale model training and distributed computing
  • โœ… Production ML system design and architecture
  • โœ… AI model performance optimization and monitoring
  • โœ… Cross-functional collaboration with engineering and product teams
  • โœ… Mentoring junior data scientists and engineers
  • โœ… Research and implementation of state-of-the-art ML techniques

๐ŸŒฑ Currently Exploring

  • Large Language Models (LLMs) and Generative AI
  • Advanced MLOps practices and AutoML
  • Edge AI and model optimization techniques
  • Real-time ML systems and streaming data processing

๐Ÿ“ซ How to Reach Me

Feel free to reach out for collaborations, opportunities, or just a chat about AI/ML!


โšก Fun Fact

I believe that the best ML models are not just about accuracyโ€”they're about delivering real business value and solving actual problems!


"Data is the new oil, but AI is the refinery."

Pinned Loading

  1. crypto-trading-simulation crypto-trading-simulation Public

    Crypto Trading Simulation project that implements and compares three different algorithmic trading strategies for cryptocurrency trading, specifically focusing on Bitcoin (BTC) and Ethereum (ETH).

    Python

  2. deep-neural-network-for-clustering deep-neural-network-for-clustering Public

    Tensorflow (Python) based deep learning clustering.

    Jupyter Notebook

  3. linkedin-job-application-agent linkedin-job-application-agent Public

    Sophisticated integration of web automation, AI, and data management technologies to solve a real-world problem of job application automation.

    Python 16

  4. mcp-manager mcp-manager Public

    MCP Manager

    Python

  5. revenue-simulation revenue-simulation Public

    Python-based financial modeling project that simulates revenue growth scenarios for different types of startups over a 24-month period.

    Python

  6. tensorflowsharp-dog-or-cat tensorflowsharp-dog-or-cat Public

    TensorFlowSharp example: classify images (dog vs. cat) with a fine-tuned MobileNet model, using GPU tuning parameters passed as a byte array.

    C#