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Melissa Fabros

Software Engineer at Kiva

Melissa Fabros is a talented Machine Learning Engineer and full-stack engineer at Kiva.org. She possesses over 3 years of experience in production software engineering and has completed two open source technical internships through Google Summer of Code and Rails Girls Summer of Code. Melissa's expertise spans a wide range of technologies including Python, Javascript, CSS3, HTML, Responsive Design, JQuery, Bootstrap, Version Control, SQL, SQLAlchemy, Flask, Node.js, React.js, D3.js, Jenkins, Travis CI, Elm, Django, Ruby, Git, PostGresQL, Pytest, Jasmine, Unittest, Mapbox, AWS, Jupyter Notebook, Jinga, Computer Vision, and more. She is proficient in various libraries and frameworks like Shapely, Tifffile, CV2, Numpy, Pandas, Matplotlib, Python Image Library, Tmux, Keras, and Theano.

Highlights

'Nicely busy': Berkeley sees strong in-person voter turnout on Election Day - Daily Californian
Sep 14 · Crowdfund Insider
CrowdFlower Names Kiva Engineer First Round Winner of $1 Million AI For Everyone Challenge - Crowdfund Insider
Melissa Fabros
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Location

Berkeley, California, United States