Daniel Ricks
Associate Machine Learning Engineer
Lynchburg, Virginia, United States
Summary
👤
Senior🎓
Top SchoolDaniel Ricks is an Associate Machine Learning Engineer with 11 years of experience specializing in NLP and deep learning, currently working at Booz Allen Hamilton. He has built production-ready ML systems—ranging from recommender and pose-estimation pipelines to scalable test-generation services—using Python, TensorFlow, Kubernetes, and AWS. His research background includes contributions to interactive fiction environments and chatbots (an Alexa Prize team member) and a learning environment cited by Microsoft’s TextWorld, reflecting a blend of academic rigor and applied engineering. Daniel has a track record of turning research into deployable solutions, shipping LangChain/GPT-4/Claude proofs-of-concept and maintaining TensorFlow Serving deployments. Based in Lynchburg, Virginia, he combines strong systems engineering with creativity in text-based game and chatbot design, often finding elegant, data-driven shortcuts that reduce complexity and runtime.
11 years of coding experience
10 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Brigham Young University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (67)
transformers10
language-model10
python10
deep-learning10
transformer10
nlp10
jax10
tensorflow10
natural-language-processing10
pytorch10
machine-learning10
bert10
speech-recognition10
encoder9
sega-genesis9
Programming languages (5)
Github contributions (5)
danielricks/textplayer
May 2016 - Feb 2017
Contributions:35 commits, 48 pushes, 1 branch in 9 months
danielricks/autoplay
May 2016 - Aug 2021
Contributions:96 commits, 90 pushes, 1 branch in 5 years 3 months
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