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Howdy! ๐Ÿค 

My name is Curtis Mitchell. I'm a software engineer focused on privacy-enhancing technologies, machine-learning and artificial intelligence, and full-stack web development. I currently work for the US Census Bureau on the xD team. I'm also available for part-time freelancing and consulting on privacy and ML/AI tech through my business Mitchell Technology Consulting. Previously I worked as a contractor for NASA on the SimLabs team at the Ames Research Center, and before that I worked for several data science and machine learning startups. I've also volunteered as an open-source contributor with OpenMined and other open-source projects. I grew up in Texas and Missouri and now hang my hat in San Francisco, California. When I'm not behind a keyboard you can usually find me cooking something tasty ๐Ÿฅ˜๐ŸŒฎ๐Ÿœ, exercising ๐Ÿ’ช๐Ÿผ, learning and practicing languages ๐Ÿ‡ฏ๐Ÿ‡ต๐Ÿ‡ซ๐Ÿ‡ท๐Ÿ‡ฉ๐Ÿ‡ช, or reading a good book ๐Ÿ“š.

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Programming Languages

  • Python
  • JavaScript/TypeScript
  • HTML & CSS
  • SQL
  • Bash/Zsh

Technologies and Platforms

  • SQL Databases: PostgreSQL, SQLite
  • NoSQL Databases: MongoDB, Redis
  • Containers and Orchestration: Docker, Kubernetes
  • CI/CD and DevOps: Github Actions, Terraform
  • Cloud Computing: AWS, Azure, DigitalOcean, Vercel, Cloud Foundry
  • Operating Systems: MacOS, Linux (Ubuntu)

Machine Learning / Data Science

  • General: Numpy, scikit-learn, Pandas
  • Deep Learning: Tensorflow, PyTorch
  • Natural Language Processing: NLTK, spaCy
  • Data Visualization: matplotlib, Seaborn

Privacy-Enhancing Technologies

  • Differential Privacy: OpenDP
  • Federated Learning: Flower, PySyft

Web-Development

  • Frontend Frameworks: React, Next.js, Redux, Angular, jQuery
  • Static Site Generators: Jekyll
  • Styling/Design Systems: Sass, USWDS
  • Data Visualization: D3
  • Design Platforms: Figma

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