Michael Chambers, Software Developer in Atlanta, GA, United States
Michael Chambers

Software Developer in Atlanta, GA, United States

Member since October 31, 2019
Michael is a full-stack web engineer with a track record in delivering performant applications as well as a background in data-centric UI design. With eight years of experience in software development, Michael's focus lies in front- and back-end web technologies like React, Vue.js, and Node.js. While getting his Ph.D., Michael developed automated systems for the management, processing, and interactive visualization of large scientific datasets.
Michael is now available for hire




Atlanta, GA, United States



Preferred Environment

MongoDB, Node.js, Express.js, Vue, React

The most amazing...

...thing I've ever worked on was a full rework of the GraphQL data layer for a mentor social network/web app with a large established user base.


  • Full-stack Developer

    2019 - PRESENT
    • Worked with a non-profit to modernize their online presence, incorporating custom branding, best-practices CSS, CMS functionality, and a responsive mobile-first design.
    • Deployed applications to cloud-based service providers, including AWS, Heroku, Netlify, and DigitalOcean.
    • Delivered a single-page app for event booking using React/Redux, GraphQL, and a Firebase data back end.
    • Reworked a GraphQL data layer for a mentor/social media application with an active user base and complex data requirements, making it more performant and stable.
    Technologies: Amazon Web Services (AWS), Firebase, GraphQL, DigitalOcean, Netlify, Heroku, MongoDB, Node.js, Vue, React, CSS, HTML, JavaScript
  • Software Researcher/Lecturer

    2007 - 2018
    University of California, Los Angeles
    • Developed Java and Python libraries to automate the analysis of unstructured research data, including data extraction, transformation/processing, modeling, and visualization.
    • Developed an open-source R library to address common analytical procedures dealing with high-throughput genomic sequencing data.
    • Implemented a software suite to integrate real-time time-series gene expression profiles with clinical and patient outcome data.
    • Utilized generalized linear models, Hidden Markov models, and network analysis to identify the gene clusters responsible for a class of fatal neurological disorders.
    • Applied the principles of machine learning, including SVNs, k-means and k-modes clustering, and ensemble learning to solve real-world problems.
    • Presented my findings and techniques at conferences and published results in peer-reviewed academic journals.
    Technologies: R, Java, Python, Node.js, JavaScript


  • Defined a Regulatory Genetic Network Using Statistical Modeling and Machine Learning

    Worked on the exploration and definition of a regulatory genetic network involved with the early specification of nervous tissue, as well as a class of fatal developmental disorders. Constructed an automated ETL/analysis pipeline using Python, Java, and R to process large quantities of unstructured research and clinical data. Results were published in BMC Genomics, 2016


  • Libraries/APIs

    React, Node.js, D3.js, Vue, Vue 2, Scikit-learn, TensorFlow
  • Languages

    Python, R, HTML, CSS, GraphQL, JavaScript, Java
  • Frameworks

  • Storage

    MongoDB, MySQL
  • Tools

  • Platforms

    Heroku, Netlify, DigitalOcean, Firebase, Amazon Web Services (AWS)


  • Ph.D. in Bioinformatics
    2007 - 2014
    University of California, Los Angeles - Los Angeles, CA
  • Master of Science Degree in Chemistry
    2006 - 2007
    Georgia Institute of Technology - Atlanta, GA
  • Bachelor of Science Degree in Chemistry
    2003 - 2006
    Georgia Institute of Technology - Atlanta, GA

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