Davis King
Perception Engineer at Aurora
Billerica, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolDavis King is a Perception Engineer with 18 years of experience building robust machine learning and computer vision systems, currently shaping autonomy at Aurora from his base in Billerica, Massachusetts. He brings deep C++ expertise and a track record of low-level ML engineering, evidenced by substantive contributions to the widely used dlib toolkit (including a loss_ranking_ layer) and work on MITIE’s information extraction core. His career spans defense and research labs to industry R&D—Northrop Grumman, MIT Lincoln Laboratory, Shell TechWorks, and svlsResearch—where he focused on production-grade perception, algorithm optimization, and system integration. Comfortable across research and product boundaries, he routinely improves performance-critical code, tokenization and feature pipelines, and model parameterization. Collected MS and BS degrees in computer science underpin a practical, systems-first approach to perception problems. An atypical strength is his willingness to work deep in C++ ML internals rather than only at higher-level frameworks, making him valuable for productionizing advanced research.
18 years of coding experience
13 years of employment as a software developer
Johns Hopkins UniversityBS, Computer Science, BS, Computer Science at The Ohio State University
English
Stackoverflow
4,771reputation
494kreached
108answers
1question
machine-learning
top-5%
neural-network
top-5%
artificial-intelligence
top-5%
Github Skills (19)
c-language10
machine-learning10
gradient10
deep-learning10
computer-vision10
nlp10
cprogramming-language10
image-processing9
artificial-intelligence9
loss-functions9
neural-network9
dlib6
shared-libraries6
face-detection6
opencv6
Programming languages (8)
Github contributions (5)
mit-nlp/MITIE
Feb 2014 - Sep 2022
MITIE: library and tools for information extraction
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 324 commits, 21 PRs in 8 years 8 months
Contributions summary:Davis primarily worked on enhancing and refining the core functionality of the `mitie` library for information extraction. Their contributions included simplifying command-line interfaces for word representations, modifying and improving the named entity recognition (NER) code base, as well as adding new features related to CoNLL file handling. In addition, they made modifications to model parameters, performance enhancements, and integrated changes to the internal tokenization and feature extraction mechanisms.
nlpmitieextractionpythonc-plus-plus
davisking/dlib
May 2008 - Jan 2023
A toolkit for making real world machine learning and data analysis applications in C++
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:32 releases, 464 reviews, 7508 commits in 14 years 10 months
Contributions summary:Davis implemented the `loss_ranking_` layer within the C++ machine learning toolkit, dlib, to facilitate ranking tasks in machine learning models. The user added code for a new loss ranking layer, extended existing layers, and enhanced the image processing functionality. The user's work demonstrates a focus on deep learning and computer vision tasks within the context of the C++ library.
data-analysispythondata-sciencedeep-learningc-plus-plus
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