Austin Welch
Member Of Go To Market Staff at OpenAI
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAustin Welch is an Applied Scientist II at the AWS Generative AI Innovation Center in New York with 11 years of experience blending deep learning research and applied engineering to build production-ready generative AI solutions. With an MS in Electrical Engineering from Boston University and a BA in Philosophy from Rutgers, he combines technical rigor with strong conceptual thinking to translate research into scalable products. At AWS GAIIC he focuses on advancing generative models and their real-world applications, bridging prototyping and deployment. Colleagues describe him as comfortable navigating both research literature and cloud-scale implementation details, and he brings a rare cross-disciplinary perspective shaped by humanities and engineering training.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Arts - BA, Philosophy, Bachelor of Arts - BA, Philosophy at Rutgers UniversityMaster of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at Boston University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
language-model10
dataflow10
sagemaker10
datasets10
hyperparameter-optimization10
code-generation10
coco10
automl10
vision-transformer10
llama-index10
glip10
heatmap10
fastai10
neural-network10
object-detection10
Programming languages (17)
Github contributions (5)
austinmw/d2l-en
Apr 2020 - Apr 2023
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
Contributions:1 PR, 2 pushes in 3 years
mathpythondeep-learningnumpyneural-networks
austinmw/Academic_Portfolio
Sep 2017 - Apr 2020
Contributions:1 push, 1 branch in 2 years 7 months
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