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👋 Hi, I'm James Marquardt

I'm a seasoned Data Scientist and Machine Learning Engineer with a rich history in Software Engineering. My journey started in 2012, and I've been keen on exploring and innovating in this ever-evolving space since then.

My forte lies in leveraging Python for my projects, although I'm also proficient in R, Java, Rust, React, and JavaScript. I've been fortunate to have my work impacting hundreds of thousands of people, offering me a rewarding experience as a developer. I've also led and optimized teams of data scientists and software engineers, helping projects and organizations reach their full potential.

🩺 I have a real passion for healthcare.

🔭 My notable work includes my contributions to DrachmAI, where I've been involved in building models, services, and features. Here are a couple of exciting projects I'm actively working on:

You can also find my footprint in the projects under 98point6's GitHub repo rafastealth, which consist of private repositories from my past engagement with the company.

📰 I've been out of graduate school for some time and have focused all of my energy since then on building products that help real people, but I'm still proud of the research work I've done. A sample of a few that I'm particularly proud of:

🛠️ Technical Skills

  • Languages: Python, R, Java, Rust, JavaScript
  • Libraries/Frameworks: PyTorch, Tensorflow, JAX, spaCy, HuggingFace, React, Ray
  • Machine Learning: Traditional supervised/unsupervised ML, Reinforcment Learning (for more than just video games!), and generative models
  • Cloud Platforms: AWS and Azure primarily (production use), GCP and Heroku (personal projects)
  • IaC: Pulumi, CDK, ARM
  • Ops: Making all of the above actually work in production (CI/CD, scaling, monitoring, etc.)

📜 Resume

You can view my detailed resume here.

📫 Get in Touch

You can reach me via LinkedIn or Email.

James Marquardt's Projects

datadapt icon datadapt

A project for generating datasets when you have a different dataset

docker-hadoop-spark-workbench icon docker-hadoop-spark-workbench

[EXPERIMENTAL] This repo includes deployment instructions for running HDFS/Spark inside docker containers. Also includes spark-notebook and HDFS FileBrowser.

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

iir icon iir

Machine Learning / Natural Language Processing / Information Retrieval

mondrian icon mondrian

Implementation of Mondrian Multidimensional K-Anonymity (Mondrian).

netflow-whoah icon netflow-whoah

Implementation of algorithms for empirical study of network flow.

scispacy icon scispacy

A full spaCy pipeline and models for scientific/biomedical documents.

shap icon shap

A unified approach to explain the output of any machine learning model.

spacy icon spacy

💫 Industrial-strength Natural Language Processing (NLP) in Python

symptom-service icon symptom-service

Service to identify symptoms claimed or denied in a medical interview

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