Michael Chambers
Verified Expert in Engineering
Software Developer
Atlanta, GA, United States
Toptal 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.
Portfolio
Experience
- Python - 6 years
- R - 6 years
- Node.js - 5 years
- D3.js - 4 years
- MySQL - 3 years
- Express.js - 3 years
- MongoDB - 3 years
- React - 3 years
Availability
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.
Work Experience
Full-stack Developer
Freelance
- 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.
Software Researcher/Lecturer
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.
Experience
Defined a Regulatory Genetic Network Using Statistical Modeling and Machine Learning
https://github.com/mdchambers/grouchoEducation
Ph.D. in Bioinformatics
University of California, Los Angeles - Los Angeles, CA
Master of Science Degree in Chemistry
Georgia Institute of Technology - Atlanta, GA
Bachelor of Science Degree in Chemistry
Georgia Institute of Technology - Atlanta, GA
Skills
Libraries/APIs
React, Node.js, D3.js, Vue, Vue 2, Scikit-learn, TensorFlow
Tools
Tableau
Languages
Python, R, HTML, CSS, GraphQL, JavaScript, Java
Frameworks
Express.js
Storage
MongoDB, MySQL
Platforms
Heroku, Netlify, DigitalOcean, Firebase, Amazon Web Services (AWS)
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring