Daniel Lindberg
AI Machine Learning Staff Engineer at Lockheed Martin
Denver, Colorado, United States
Summary
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Senior🎓
Top SchoolDaniel Lindberg is an AI and machine learning staff engineer with 9 years of experience applying software and systems engineering to space systems at Lockheed Martin. He has led cross-disciplinary teams to architect CV and ML pipelines, build CI/CD and testing frameworks for NASA-class programs, and integrate flight‑hardware software for satellites and the Orion spacecraft. His work spans from implementing LSTM/TCN models and computer vision for manufacturing inspection to designing data lakes and operational hooks for ML in production. Comfortable bridging electrical, GN&C, payload and software teams, he translates rigorous space requirements (ECSS, DRS, ICD) into deployable systems. A CU Boulder MS in Electrical Engineering and a BS in Computer Science underpin a practical focus on reliability, testability, and hardware-informed AI. Based in Denver, he’s actively shifting toward opportunities in the space systems industry where machine vision and remote sensing meet operational engineering.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at University of CincinnatiMaster's of Science Electrical Engineering, Master's of Science Electrical Engineering at University of Colorado Boulder
English, German, SpanishGithub contributions (5)
Daniel-Lindberg/EnvironmentalSignalProcessing
Dec 2019 - Dec 2019
Contributions:3 commits, 2 pushes, 1 branch in 10 days
Daniel-Lindberg/RemoteSensingDataAnalysis
Sep 2019 - Nov 2019
Contributions:3 commits, 2 pushes, 1 branch in 1 month
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