Niall Dalton
AI Engineer at Scale AI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNiall Dalton is an AI engineer based in San Francisco with eight years of software experience, currently shaping scalable AI systems at Scale AI. He blends deep learning, data science, and physics-informed approaches to solve industrial-scale problems. Prior to Scale AI, he built mission-critical embedded software for satellite power management at Amazon, including developing battery algorithms and protective drivers for $10B+ satellite programs. Earlier stints at Amazon as a Software Engineer contributed to Project Kuiper's embedded software for satellites. He has hands-on research experience from Northeastern's Kostas Research Institute and MIT Lincoln Laboratory, focusing on deep learning for homeland protection and edge AI. He holds a CS and Physics degree from Northeastern University with a math minor, reflecting a long-standing passion for interdisciplinary tech.
9 years of coding experience
3 years of employment as a software developer
Grade 12 (Dual enrollment), Grade 12 (Dual enrollment) at Worcester Polytechnic InstituteBachelor's degree, Computer Science and Physics; Math Minor, Bachelor's degree, Computer Science and Physics; Math Minor at Northeastern UniversityHigh School, Grades 11-12, High School, Grades 11-12 at Massachusetts Academy of Math & Science
English, Spanish
Github Skills (155)
python10
deep-learning10
gpu10
gpu-acceleration10
django10
acceleration10
numpy10
neural-network10
tensor10
tensorflow10
autograd10
machine-learning10
orm10
neural-networks10
trains10
Programming languages (7)
Github contributions (5)
ndalton12/ndalton12.github.io
Oct 2018 - Nov 2023
Contributions:13 pushes, 7 branches in 5 years 1 month
ndalton12/AMPED
Nov 2020 - Apr 2024
Contributions:58 pushes, 2 branches in 3 years 6 months
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