Dillon Laird
Founding Machine Learning Engineer at Landing.ai
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDillon Laird is a machine learning engineer with 11 years of applied experience building production AI systems, currently a Member of Technical Staff at Anthropic after nine years as a founding ML engineer at Landing.ai. He combines strong academic foundations from Stanford (MS CS) and the University of Washington (BS Math & CS) with hands-on production work in computer vision and data-driven products. Dillon has moved between research and product roles—from university research assistant to data scientist positions at PitchBook and consulting—bringing a pragmatic, metrics-oriented approach to model development and deployment. Based in San Francisco, he’s comfortable at the intersection of research, engineering, and business, scaling models into reliable, production-ready services. An active technologist with a history of long-tenure contributions, he tends to focus on durable system design and the often-overlooked operational details that make ML succeed in production.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS) Mathematics and Computer Science, Bachelor of Science (BS) Mathematics and Computer Science at University of WashingtonMaster’s Degree Computer Science, Master’s Degree Computer Science at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (76)
python10
deep-learning10
gpu10
efficientnet10
optimizer10
resnet10
neural-network10
data-science10
mobilenet10
tensorflow10
machine-learning10
imagenet9
face9
ml9
numpy9
Programming languages (4)
Github contributions (5)
landing-ai/vision-agent
Mar 2024 - Apr 2025
Vision agent
Contributions:218 reviews, 291 PRs, 713 pushes in 1 year 1 month
dillonalaird/pysvihmm
Nov 2014 - Sep 2017
Contributions:29 commits, 3 pushes in 2 years 10 months
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