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Collin Paran

Collin Paran

AI architect building LLMs for space and defense

collinparan
Denver, Colorado
Joined April 2026
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Network

2.7K connections
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Booz Allen Space Defense
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Booz Allen Technologists
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Booz Allen AI Data Leadership
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Booz Allen AI ML Engineers
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Defense Government Contractors

Summary

Builder of LLM-based systems for space and defense: Collin has led Booz Allen efforts to apply linked and multimodal large language models to space-domain awareness, translating sensor fusion and threat analytics into conversational operator tools and recommended courses of action. boozallen+2
Open-source practitioner and tool-builder: He publishes and maintains open-source projects and models—ranging from LLM orchestration tools (AiTril) to privacy-first local-health tooling (Mya View) and ML models on Hugging Face—demonstrating a focus on practical tooling for AI deployment. github+2
Public-facing communicator and author: Collin writes and speaks about applying generative AI to operational problems (sponsored articles, Medium posts, and podcast appearances), positioning himself as a translator between technical AI work and mission-side operators. usni+3
Broad data engineering background with leadership trajectory: His career progressed from manufacturing and data engineering roles into AI architecture and leadership (culminating in a Head of AI role), reflecting experience across data platforms, model-building, and operational integration. rocketreach

Work

Education

Projects

Writing

BeEngaged Podcast: Episode 1 - Artificial Intelligence (AI) in Space

August 28, 2024

Podcast episode featuring Collin Paran discussing deploying LLMs in space (episode notes indicate he deployed an LLM on the International Space Station).

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Using Large Language Models to Protect Satellites from Attack

April 1, 2024

Sponsored article describing how LLMs could be used to provide onboard intelligence, collaborate across mesh satellite networks, and assist in defending satellites from cyber and kinetic threats.

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Linking Large Language Models for Space Domain Awareness

January 1, 2024

Explains networking LLMs to fuse multisensor and multi-source data for space domain awareness and describes demonstrations (e.g., BRAVO hackathon) where linked LLMs improved operator workflows.

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GenAI, Operators, Nerds: Powering Space Operations

January 1, 2024

Overview of Booz Allen i2S2 approach using linked LLMs and conversational interfaces to accelerate space-domain decisions and recommendations for operators.

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Selected Medium posts

Various blog posts on data science, strategy, and technical topics on Medium (author profile and posts).

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Hobbies

Early adopter of crypto (Dogecoin and XLM). nitter

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