Nick L

Machine Learning Engineering Manager at Scale AI

Denver, Colorado, United States
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Summary

👤
Senior
🎓
Top School
Nick L is a Machine Learning Engineering Manager with 17 years of experience turning research into production-grade ML systems across finance, defense, and critical infrastructure. He currently leads a team at Scale AI building agent harnesses and tooling for mission-critical national security deployments, focusing on agent retrieval, context management, and resilient memory systems. Previously he built large-scale computer vision pipelines for power grid inspection and pioneered active learning and synthetic-data techniques to improve rare-failure robustness. Nick’s background in quantitative finance and hands-on work shipping containerized, low-SWaP models gives him a rare combination of production rigor, statistical depth, and operational sensitivity. He prioritizes well-tested, maintainable code and clear communication so engineering teams and nontechnical stakeholders can reliably field advanced AI in high-consequence environments.
code9 years of coding experience
job15 years of employment as a software developer
bookMasters of Science, Finance, Masters of Science, Finance at University of Denver - Daniels College of Business
bookB.S. Engineering, Mechanical Engineering and Economics, B.S. Engineering, Mechanical Engineering and Economics at Colorado School of Mines
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Github Skills (22)

text-generation10
classification10
image-segmentation10
evaluation9
python9
natural-language-processing9
developer-tools9
streamlit9
nlp9
object-detection9
computer-vision9
data-visualization8
data-analysis8
deep-learning8
mlops8

Programming languages (5)

TypeScriptJavaScriptSwiftHTMLPython

Github contributions (5)

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ntlind/ntlind.github.io

Aug 2019 - Sep 2021

Personal blog developed using Gatsby
Contributions:12 PRs, 107 pushes, 29 branches in 2 years 1 month
gatsbyreact
ntlind/forecastframe

Nov 2020 - Jun 2023

Automated feature engineering and modeling algorithms for solving time-series problems.
Contributions:2 PRs, 99 pushes, 4 branches in 2 years 7 months
feature-engineeringtime-series
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