Daniel Quang
Solutions Architect at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Quang is a Solutions Architect at AWS who helps VC-backed Generative AI startups scale secure, cost-efficient cloud deployments while acting as a technical extension of their engineering teams. With 13 years of experience and a PhD in Computer Science, he brings deep ML and HPC expertise honed as a Senior ML Scientist at DNAnexus, where he built conversational LLM agents, self-hosted open-source models for privacy-sensitive workloads, and engineered high-performance remote desktops. Comfortable advising C-suite leaders, he translates complex ML concepts into pragmatic architectures that balance performance, security, and operational readiness. His background in computational biology and single-cell genomics research gives him uncommon domain fluency for life-science AI applications.
13 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE), Chemical Engineering, Summa Cum Laude, Bachelor of Engineering (BE), Chemical Engineering, Summa Cum Laude at The Cooper Union for the Advancement of Science and ArtHigh School Diploma, High School Diploma at Montgomery Blair High SchoolUniversity of California, Irvine
Github Skills (176)
python10
seq10
deep-learning10
genome10
data-science10
binding10
tensorflow10
motif10
pytorch10
machine-learning10
neural-network9
jax9
rna-seq9
parallel9
meter9
Programming languages (8)
Github contributions (5)
uci-cbcl/EXTREME
Apr 2013 - May 2018
Contributions:147 commits, 1 PR, 4 pushes in 5 years 2 months
chip-seqdnase-seqfootprintingdiscoverychip
uci-cbcl/FactorNet
Apr 2016 - Jan 2020
A deep learning package for predicting TF binding
Contributions:71 commits, 75 pushes, 3 comments in 3 years 10 months
deep-learningpytorchmachine-learningbinding
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