Daniel Firebanks-quevedo
Software Engineer, AI ML at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Firebanks-Quevedo is a software engineer specializing in AI/ML with eight years of experience building and shipping production ML systems across enterprise and research settings. Currently at Google working on generative AI for Workspace, he previously led transformer and NLP efforts at IBM (contributing to Watson products that drove $20M+ in revenue) and improved search/recommendation models at Pinterest with a 33% performance boost. He combines deep research experience from USC’s Allegro lab and practical MLOps skills—designing scalable training pipelines with PySpark, Hugging Face, and PyTorch and cutting inference and training costs by up to 50% in production. Comfortable across Python, Typescript, Java, and cloud-native architectures, he also has a track record applying ML to public-good projects, from policy document analysis for governments to COVID-19 modeling for NGOs. Collected experiences in industry and academia give him a strong lens for turning research advances into robust, cost-effective products.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern CaliforniaInternational Baccalaureate , International Baccalaureate at UWC-USABachelor of Arts - BA Computer Science Minor in Mathematics, Bachelor of Arts - BA Computer Science Minor in Mathematics at Oberlin CollegeComputer Science, Computer Science at AIT-Budapest
English, Spanish, French
Stackoverflow
458reputation
178kreached
1answer
1question
Github Skills (200)
sentence10
python10
json-schema10
lda10
scrapy10
deep-learning10
crf10
environmental10
async10
document-classification10
swagger-ui10
api10
rest10
transformer10
nlp10
Programming languages (10)
Github contributions (5)
gesto-ai/asl_word_recognizer
Sep 2022 - Oct 2022
ASL Word Recognizer. Streamlit App where given a video of a person doing a sign, use an Inception I3D model to predict the word shown in the video. Hosted on Streamlit and AWS.
Contributions:7 reviews, 15 PRs, 106 pushes in 25 days
pythonsignpersondeep-learninghosted
thefirebanks/MultiAgent-Systems-StarCraft2-PySC2-Raw
Feb 2018 - Jul 2019
Contributions:10 commits, 9 pushes, 1 branch in 1 year 5 months
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