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 (118)
python10
deep-learning10
jax10
data-science10
tensorflow10
pytorch10
machine-learning10
dna-sequences10
genomics9
recurrent-neural-networks9
bioinformatics9
genome9
sequencing9
rna-seq8
progress-bar8
Programming languages (9)
Github contributions (5)
uci-cbcl/EXTREME
Apr 2013 - May 2018
An online EM implementation of the MEME model for fast motif discovery in large ChIP-Seq and DNase-Seq Footprinting data
Contributions:147 commits, 1 PR, 4 pushes in 5 years 2 months
chip-seq
uci-cbcl/DanQ
Dec 2015 - Jan 2017
A hybrid convolutional and recurrent neural network for predicting the function of DNA sequences
Contributions:22 commits, 21 pushes, 1 branch in 1 year 1 month
dna-sequencesrecurrent-neural-networks
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