Dayna Harris - Applied AI Chief - SAIC | Himalayas
DH
Open to opportunities

Dayna Harris

@daynaharris

AI Solutions Architect with 25 years of experience in technology.

United States
Message

What I'm looking for

I am looking for opportunities that allow me to leverage my AI expertise to create impactful solutions while fostering a collaborative and innovative work environment.

I am an AI Solutions Architect with over 25 years of experience delivering strategic, mission-aligned technology solutions across the Department of Defense, Intelligence Community, and federal landscape. My expertise lies in combining strategic insight with hands-on innovation to design intelligent solutions that amplify knowledge, accelerate decision-making, and support critical missions safeguarding national interests and public trust.

Currently, I lead the design and development of Generative AI solutions at SAIC, where I focus on creating RAG-enabled chatbots and advanced prompt engineering techniques for actionable insights using large language models. My previous roles include Data Architect at Leidos and Data Scientist at BAH, where I developed analytics capabilities and streamlined cyber data analysis for the Navy. I am passionate about advancing AI technologies, particularly in the realms of agentic AI and intelligent automation.

Experience

Work history, roles, and key accomplishments

SA
Current

Applied AI Chief

SAIC

Jan 2020 - Present (5 years 6 months)

Led the design and development of GenAI solutions, including RAG-enabled chatbots and advanced prompt engineering techniques for information analysis. Integrated computer vision, sensor technology, and imagery analytics to deliver insights on global economic trends.

Education

Degrees, certifications, and relevant coursework

Johns Hopkins University logoJU

Johns Hopkins University

Certificate, Applied Generative AI

Currently pursuing a Certificate in Applied Generative AI, focusing on advanced concepts and applications in the field.

Johns Hopkins University logoJU

Johns Hopkins University

M.S., Computer Science

Grade: 3.8

Completed a Master of Science in Computer Science, achieving a GPA of 3.8. Focused on advanced topics in computer science.

Hawaii Pacific University logoHU

Hawaii Pacific University

B.S., Computer Science

Grade: 4.0 - Summa Cum Laude

Earned a Bachelor of Science in Computer Science with Summa Cum Laude honors, achieving a perfect GPA of 4.0. Gained foundational knowledge in computer science principles.

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