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Mlawrence95/README.md

About me

Hi there! I'm a machine learning engineer at Google. I have experience in machine learning applications for both online/real-time and batched processes, with recent experience in NLP (topic/language models) and time series data. Before that, I studied physics at UC Berkeley, where I was a data science TA.

My interests are primarily in research engineering work - taking code from researchers, translating it into scalable, tested, maintainable software, with as much automation as possible.

Pinned

  1. wikipedia_entity_extraction_api wikipedia_entity_extraction_api Public

    A simple Flask REST API for extracting entities from wikipedia pages. Useful for constructing knowledge graphs over a set of wikipedia pages.

    Python

  2. Python-for-Data-Science Python-for-Data-Science Public

    A self-contained explanation for how to install Python and build an environment for working with data

    1

  3. Berkeley-Wild-Food-Map Berkeley-Wild-Food-Map Public

    A fun interactive map made in Python visualizing the edible plants I find around town and campus

    Jupyter Notebook 1

  4. django-test-deployment django-test-deployment Public

    JavaScript

  5. fullstack_course fullstack_course Public

    Projects and notes from the fullstack bootcamp class I took.

    Python

  6. frontend-crashcourse frontend-crashcourse Public

    Intro lecture notes for a talk I gave to UCSB students

    HTML