Academia · Industry · Community
Majid MemariAI Scientist & Solution ArchitectApplied AI at Utah Valley UniversityAI Entrepreneurship and research that ships.
AI Scientist and Solution Architect working in applied AI and Gen AI — a Ph.D. in Computer Science (SIU 2023) with generative-model thesis work. I teach AI Entrepreneurship at Utah Valley University. Active projects include DataGovAI, AI-STER, AI-ClassSims, privacy-preserving synthetic data, wind-turbine RGB/thermal inspection, and GridEye. I work with Utah agencies, UVU, the University of Utah, and consult with Clarion AI Partners on LLM and agent workflows.
Partners
Who I work with
State institutes and agencies, Utah campuses, Utah's Silicon Slopes tech community, and industry consulting — named collaborators, not a client count.
State
Gary R. Herbert Institute for Public Policy
DataGovAI and privacy-preserving public-sector AI.
- Utah Office of Data Privacy
- Utah Department of Health and Human Services
Universities
Academic home · UVU School of Education (AI-ClassSims).
University of Utah One-U RAI — public and policy conversations.
GridEye: University of Utah / UVU ECE / PacifiCorp collaboration; USHE proposal in development.
Silicon Slopes
Utah's Silicon Slopes tech community
A 501(c)(3) community — not an employer or client.
Industry
Clarion AI Partners
Applied AI consulting on LLM and agent workflows — including when to use AI.
NVIDIA Certified Instructor Directory — Deep Learning Institute listing. Instructional certification, not a client.
Academia
Majid is Assistant Professor of Computer Science at Utah Valley University. He teaches and researches applied AI, machine learning, and generative AI, including UVU work on drone RGB and thermal imaging for wind-turbine maintenance. He designed and teaches AI Entrepreneurship: Build and Launch AI-Powered Businesses — students take AI from a real problem to a working business, end to end, in the industry they choose. Prior research includes the University of Utah One-U Responsible AI Initiative, a postdoc at the University of Pennsylvania (with Stanford and Johns Hopkins collaborations), and research-assistant work at Southern Illinois University Carbondale. More at LinkedIn and Google Scholar.
Industry
In Utah's Silicon Slopes tech community he consults with Clarion AI Partners on LLM and agent workflows—including when to use AI and when not to. Through Nexus AI Solutions he provides AI consulting and team training: Advisory engagements on how to adopt AI, plus instructor-led workshops and in-house team training. He is listed in the NVIDIA Certified Instructor Directory as a Deep Learning Institute Certified Instructor, and earlier did data-science work at Potentia Analytics.
Community
At the Gary R. Herbert Institute for Public Policy he collaborates with the Utah Office of Data Privacy and the Utah Department of Health and Human Services (DHHS) on AI for data governance and privacy, and contributes to One-U RAI public and policy conversations. He is a 2026 AI Utah 100 honoree.
Ph.D.
Computer Science, SIU Carbondale
NVIDIA
University Ambassador & DLI Instructor
2026
2026 AI Utah 100 honoree
UVU
Assistant Professor of Computer Science
NVIDIA
Ambassador & DLI Instructor
Nov 2025 — Present
Utah Valley University
Assistant Professor
Jul 2024 — Present
University of Utah — One-U RAI
AI Consultant, AI Policy SIG
Jan 2025 — Present
Gary R. Herbert Institute for Public Policy
Principal AI Architect
Nov 2024 — Present
Nexus AI Solutions LLC
Founder & Principal AI Architect
Present
Portfolio
Applied AI research
Flagship work: DataGovAI, AI-STER, AI-ClassSims, privacy-preserving synthetic data, wind-turbine RGB/thermal inspection, and GridEye. Publications.
DataGovAI
Utah data governance & public-sector AI
Multi-agent RAG for government data-retention compliance, developed with the Gary R. Herbert Institute for Public Policy and Utah agencies. Published at IETC 2026 with UVU student co-authors. Privacy-preserving evaluation so agencies can measure accuracy without exposing the sensitive records used to test the system.
Request access or demoAI-ClassSims
Classroom simulation for teacher prep
Multi-agent LLM platform for preservice STEM teacher training — AI student personas, classroom scenarios, and real-time feedback. GEL-funded collaboration with UVU's School of Education (IETC 2026).
AI-STER
AI-assisted teaching evaluation
AI-assisted rubric for student-teaching evaluation — faster, more consistent feedback while preserving instructor expertise. GEL-funded work with Krista Ruggles, published at SITE 2026.
Wind-turbine & drone inspection
RGB + thermal computer vision
Published research on drone RGB/thermal inspection of wind-turbine blades — data fusion, ensemble learning, and infrared NDT in IEEE Access, Energies, Machines, and Drones. Continues UVU postdoctoral work in applied computer vision.
GridEye
Aerial inspection of the electrical grid
AI-driven aerial inspection and predictive maintenance for electrical-grid infrastructure. Collaboration with the University of Utah (U-Smart), UVU ECE, and PacifiCorp — IEEE Access review and a joint USHE proposal in development.
Privacy-preserving synthetic data
Safe data for research & policy
CTGAN / tabular-diffusion pipelines with differential privacy so researchers can study statewide health-claims patterns without using real patient records — a Herbert Institute collaboration with Utah DHHS.
Request access or demoAutomation
Agentic workflows
Intelligent pipelines with n8n — tools, APIs, and models orchestrated to run around the clock.
Visual workflow design
Drag-and-drop with n8n — branching, loops, error handling, and approvals.
AI-native nodes
LLM calls, RAG, sentiment, and classification in the pipeline.
Always-on orchestration
Webhooks, schedules, monitoring, retries, and audit trails.
Interactive
Try my AI
Products I ship — an AI financial assistant and a course-grounded teaching assistant.
Finance & bookkeeping
AI Financial Assistant
Conversational assistant for bookkeeping, organized records, and finance workflows — full product experience with companies, ledger, and documents. Not a replacement for licensed professionals where required.
AI Entrepreneurship course
AI Teaching Assistant
Course-grounded Q&A for AI Entrepreneurship — Canvas-aligned context and a dedicated assistant, not a generic chat window.
Collaboration
Where I make an impact
Applied AI consulting with Clarion AI Partners on LLM and agent workflows, plus the Silicon Slopes tech community.
Industry & community
AI now
Current practice & public headlines
Headlines from public feeds (arXiv cs.AI and Hugging Face). Titles are not written here. Market quotes below are indicative only — not investment advice.
AI now · public markets
AI-sector market pulse
Liquid, AI-focused public equities as a momentum snapshot — not a recommendation. Many AI labs are still private. Refreshed about every minute. Not investment advice.
Tools I work with
Utah Valley University · NVIDIA DLI
AI Entrepreneurship and UVU teaching
I refresh applied-AI course content every term and deliver NVIDIA Deep Learning Institute workshops as a University Ambassador — listed in the NVIDIA Certified Instructor Directory. GPU-accelerated labs, free for students at participating universities, with DLI-style certificates where available.
Featured course · designed & taught
AI Entrepreneurship: Build and Launch AI-Powered Businesses
Fall 2026 · in-person
A UVU course he designed and teaches. Students discover a real problem, build no-code AI systems, and launch a working AI-powered business — end to end, in any industry they choose. They learn AI capabilities first, then Lean Startup methods to validate, build, and pitch. Mentors and Demo Day are with UVU's Baugh Entrepreneurship Institute. Domain is student-chosen. The same model is the direction of his team training: helping people build their own AI-powered businesses. Teaching page.
In-person
AI Entrepreneurship
Build and Launch AI-Powered Businesses
Fall 2026 · in-person
Students take AI from a real problem to a working business — end to end, in any industry they choose.
Online · MS-AAI
Machine Learning
Fall 2026 · online (MS-AAI)
Graduate machine learning for UVU's applied-AI track — supervised and unsupervised methods, evaluation, and project work.
Online
Causal Inference
Fall 2026 · online
Applied causal reasoning and data-science practice, redesigned around hands-on analysis rather than theory alone.
Online
Fundamentals of Programming
Fall 2026 · online
Introductory programming with current applied-AI tooling and hands-on labs in a coordinated multi-section course.
Building Agentic AI Applications with LLMs
NVIDIA DLI · certified instructor
The workshop that led to my NVIDIA University Ambassador designation — multi-agent patterns, tool use, and GPU-accelerated labs. Delivered on campus for ~30 UVU students.
Fundamentals of Deep Learning
~8 hours (typical DLI workshop)
Train neural networks for classification and detection with hands-on PyTorch labs on GPU-accelerated cloud instances.
RAG & LLM Agents
Applied GenAI
Retrieval-augmented generation, prompt patterns, and safe deployment of LLM-powered assistants.
Generative AI
Foundations
Diffusion and generative fundamentals with practical exercises — aligned with industry demand.
Available for universities worldwide. Student workshops are offered at no charge to students; logistics vary by institution.
Training direction
Build your own AI-powered business
The course is the model for how I train people: discover a real problem, build no-code AI, validate the idea, and launch. Not locked to one industry. Mentoring and pitch coaching draw on UVU's Baugh Entrepreneurship Institute.
Public sector
Government & public policy
As Principal AI Architect at the Gary R. Herbert Institute for Public Policy (Nov 2024 — Present), I lead state-level collaborations with Utah agencies. Students work alongside me on these initiatives — gaining hands-on public-sector AI experience.
Utah Office of Data Privacy
AI applied to data governance and privacy management — improving compliance efficiency and strengthening transparency and public trust.
Utah Department of Health & Human Services
AI-driven solutions that reduce manual review time and expand secure access to data for research and policy innovation.
Privacy-preserving infrastructure
Helping Utah build a modern, responsible data foundation that supports research while safeguarding citizens.
Expanding across departments
Building additional AI solutions for more Utah departments — intelligent automation and data-driven decision-making at scale.
Responsible, privacy-preserving AI partnerships with state and local agencies.
Mentorship
Student interns & research
I mentor 10+ undergraduate researchers each year (20+ since Fall 2024) on funded projects — DataGovAI, AI-STER, AI-ClassSims, synthetic data, and inspection AI — from architecture to deployment, at no cost to students.
AI Engineer Intern
Fully online · rolling intake
If you want real-world AI engineering experience — not only coursework — reach out. You'll work alongside me and the team on production-minded tasks: LLMs and RAG, agentic workflows, cloud integrations, and domain projects that ship.
What you might do
- Contribute to LLM-powered apps, evaluation, and tooling
- Help build agentic systems and integrations with cloud data services
- Support AI-ClassSims, AI-STER, and public-sector initiatives with mentorship
What I look for
- Curiosity and follow-through; Python and interest in LLMs/APIs are a plus
- Willingness to learn — I pair you with concrete tasks and feedback
Not sure if you're a fit? I still want to hear from you — get in touch.
AI Utah, Silicon Slopes & Utah tech
I contribute to AI Utah — Utah's AI user group and community hub for practitioners, events, and collaboration. I am a 2026 AI Utah 100 honoree. I show up, bring students, and help them plug into that network.
I'm also active in Silicon Slopes, the nonprofit helping Utah founders grow — connecting learners with founders, hiring managers, and collaborators across the broader tech ecosystem.
Contact
Let's work together
AI consulting, workshops, team training, student mentorship, or a research collaboration — send a message. UVU students can also book office hours.
Frequently asked questions
My active client work is AI consulting and team training. That includes advisory sessions on what to adopt and when not to use AI, instructor-led workshops, and hands-on training for your team. Commercial engagements go through Nexus AI Solutions. When a team needs a system built, that is a separate, scoped statement of work.
A Utah Valley University course I designed and teach. Students discover a real problem, build no-code AI systems, and launch a working AI-powered business — end to end, in any industry they choose. Mentors and Demo Day are with UVU's Baugh Entrepreneurship Institute.
Flagship work includes DataGovAI (Utah data governance), wind-turbine RGB and thermal UAV inspection, GridEye aerial inspection of the electrical grid (University of Utah / UVU ECE / PacifiCorp collaboration; a USHE proposal in development, not a funded award), AI-ClassSims, and AI-STER. Selected papers are on the publications page and Google Scholar.
I deliver instructor-led workshops and in-house team training — typically a half-day or full-day session, or a short series. NVIDIA Deep Learning Institute workshops use GPU-accelerated labs and DLI-style certificates of completion. I am listed in the NVIDIA Certified Instructor Directory. Campus student sessions are offered at no charge to students at participating universities. Organizational training is scoped to your team's tools and goals.
Email me with a short note about your background and what you'd like to learn — Python and curiosity are a plus, formal experience is not required. Internships are fully online, on a rolling intake, and there's no cost to students.
Yes, when the stack is in service of an AI system. Typical work includes Python, PyTorch, LangChain / LangGraph, RAG over private data, evaluation and guardrails, and NVIDIA DLI-style GPU labs.
We start with a discovery conversation to understand your goals and constraints. From there I propose a phased plan — usually a focused proof-of-concept first, then iteration toward production deployment with ongoing support.
Security and privacy are core to every engagement. I build with encryption at rest and in transit, role-based access, audit logging, and alignment with frameworks like HIPAA, FERPA, and state data-privacy regulations — especially relevant in my Utah public-sector work.