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  • Databricks, Inc.
  • Portland, OR

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hiydavid/README.md

Hi there, I'm David Huang πŸ‘‹

Linkedin Β  GitHub

πŸš€ About Me

I'm an AI/ML Solutions Architect passionate about building intelligent systems that solve real-world problems. With experience spanning fintech, retail, and financial services, I specialize in transforming complex data into actionable insights through cutting-edge machine learning techniques.

πŸ”§ Technologies & Tools

Languages & Frameworks

Python SQL

AI/ML & Data Science

TensorFlow PyTorch Scikit Learn Pandas NumPy

AI Agents & LLMs

LangGraph DSPy CrewAI Hugging Face OpenAI LangChain Anthropic

Cloud & Big Data

Databricks AWS Azure GCP Apache Spark MLflow

🎯 Currently Working On

  • πŸ€– Developing AI agents for enterprise automation
  • 🧠 Fine-tuning large language models for domain-specific applications

πŸ’Ό Professional Experience

Databricks, Inc.

  • AI/ML Specialist Solutions Architect, Since Jan 2024

Apex Fintech Solutions LLC, a PEAK6 Company

  • Senior Machine Learning Scientist, Dec 2022 - Jan 2024
  • Machine Learning Scientist, Sep 2021 – Dec 2022

Nike, Inc.

  • Data Scientist, Nov 2018 – Sep 2021

The Vanguard Group, Inc.

  • Research Manager, Oct 2017 – Oct 2018
  • Senior Analyst, Oct 2015 – Oct 2017
  • Analyst, Oct 2011 – Oct 2015

Education:

  • MS, Business Analytics & Data Science, New York University, Mar 2018 – May 2019
  • BS, Finance, Penn State University, Aug 2007 – May 2011

πŸ“ Blog Posts

🎯 Core Competencies

πŸ€– AI & Machine Learning

  • AI Agents & RAGs - Building intelligent autonomous systems
  • Large Language Models - Prompt engineering, fine-tuning, and optimization
  • Deep Learning - Neural networks, computer vision, NLP
  • MLOps - Model deployment, monitoring, and lifecycle management

πŸ“Š Data Science & Analytics

  • Time Series Analysis - Forecasting, anomaly detection, trend analysis
  • Advanced Modeling - Gradient boosting, ensemble methods, optimization
  • Statistical Analysis - Clustering, classification, hypothesis testing
  • Big Data Processing - Distributed computing, real-time analytics

Pinned Loading

  1. databricks-examples databricks-examples Public

    Code examples for GenAI / ML on Databricks

    Jupyter Notebook 2 4

  2. time-series time-series Public

    Example of different time series forecasting models.

    Jupyter Notebook 2

  3. numerai-models numerai-models Public

    Models for Numerai submissions.

    Jupyter Notebook 1

  4. databricks-custom-review-app databricks-custom-review-app Public

    Python