Matthew Byrd
SDE II at Amazon
Hickory, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolMatthew Byrd is an SDE II with nine years of engineering experience who blends applied NLP research and full-stack web development to deliver production-ready systems. He holds an MS in Computer Science from UNC-Chapel Hill and was first author on an ACL 2022 paper predicting question difficulty, pairing interpretable NLP features with deep models and presenting results publicly. Matthew has built Django/React backends, Docker/AWS CI workflows, and research web apps that integrate computer vision for biology labs, including a Heroku-deployed video analysis tool and a published biology community contribution. At Epic he led efforts to de-identify data using transformers and regex, and he now continues his engineering career at Amazon, demonstrating a pattern of moving research prototypes into robust, client-facing software. Notably, he has bridged academia and industry by contracting with clients while simultaneously driving research projects that achieve both empirical results and deployed impact.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of North Carolina at Chapel Hill
Github Skills (73)
canvas-lms10
autoencoder10
anomaly-detection-algorithm10
lms9
anomaly-detection9
classifier9
regression9
clustering9
deploying9
classification9
django8
javascript8
lime8
uploads8
flutter-widget8
Programming languages (11)
Github contributions (5)
ByrdOfAFeather/NARC
Nov 2017 - Sep 2019
Senior Product- A Canvas LMS anomaly detection algorithm
Contributions:3 releases, 111 commits, 10 PRs in 1 year 9 months
djangoseniorautoencoderkmeans-analysisanomalydetection
ByrdOfAFeather/PRIMEr
Sep 2018 - Apr 2019
A project to semi-automate Tar Heel Gameplay
Contributions:12 PRs, 45 pushes, 9 branches in 7 months
semigameplaytar
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