About me

I'm a machine learning engineer working at Grainger. My interests are mainly in the fields of data science, machine learning and deep learning. I'm currently focusing on natural language processing (NLP) with extreme multi-label classification, graph network, and machine learning pipelines (MLOps).

prior to joining Grainger, I worked as interns at U-haul and Seagate, where my work is on large geospatial network analysis using Neo4j, visualization dashboards, etc.

I graduated from University of Pittsburgh with a master degree in Inforamtion Science, and I also hold a Ph.D. degree in Electric Engineering. Such background expanded my interests into embedded artificial intelligence (AI). I like to playing with embedded system e.g. arduino with tensorflow lite in my spare time. I believe the future of AI is in mobility.

What i'm working on

  • design icon

    NLP with graph network

    Developed extreme multi-label classification for search engine

  • Web development icon

    MLOps production pipelines

    Deployed and monitored machine leearning pipelines with Airflow and Kubernetes

  • mobile app icon

    Web dashboards with API

    Professional Dash applications with API endpoints for model performance

  • camera icon

    arduino with robotic

    Developing prototype of intelligent robotics

Daniel lewis
quote icon

Daniel lewis

Richard