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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.

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  1. attention_and_transformers attention_and_transformers Public

    Notes on the attention mechanism and its application at the level of the "Attention is All You Need" paper

    Jupyter Notebook 1 1

  2. postgres-vector-database-service postgres-vector-database-service Public

    Vector database service in Postgres with monitoring (docker swarm)

    Python

  3. 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

  4. 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 1

  5. sportfishing-hauls-scraper sportfishing-hauls-scraper Public

    Analysis and data engineering for sportfishing reports in San Diego, based on Point Loma fleet data. Uses weather reports and temporal info to understand optimal times to go fishing

    Jupyter Notebook

  6. LinkedIn-Tech-Job-Data LinkedIn-Tech-Job-Data Public

    A compilation of job posts and metadata scraped from various tech categories on LinkedIn

    15 4