Majid Memari
Build Stronger ML Models | CS Professor & AI Researcher
Studied at Southern Illinois University-Carbondale
Works at Nexus AI Solutions
Available tomorrow
Starting at 3:30 PM UTC
Questions? Start chatting with this coach before you get started.
Majid's Offerings
Custom hourly · $150/hr
Get help with AI Code Review, AI Fundamentals, and .
Majid also coaches for AI for Product Development and Build with AI. View all.
Majid’s AI & ML Engineering Qualifications
Coaches professionally
Experience level: Director
Understand why your model works, where it fails, and what to try next. I coach students and developers in Python, machine learning, deep learning, and LLM systems. Bring a project, a confusing concept, or model results you want to improve. We can work through data preparation, baselines, evaluation, error analysis, and clear explanations of your technical decisions. I bring 10 years of experience across AI research and education, a Ph.D. in Computer Science, and experience as an Assistant Professor of Computer Science teaching machine learning and generative AI. I am also an NVIDIA DLI Certified Instructor for Building Agentic AI Applications with LLMs and a University Ambassador. My approach combines clear explanations with guided practice and specific feedback. You do the learning and building, with a focused plan for your next step.
Majid can help with:
AI Code Review
AI Fundamentals
AI Research
AI System Design
Behavioral Interview Prep
Cover Letters
Job Search Strategies
LinkedIn Review
LLM Fine-Tuning
ML Ops & Deployment
Model Development
Networking Strategy
Prompt Engineering
Resume Review
Salary Negotiation
Technical Interview Prep
Technical Skills
Majid also coaches for AI for Product Development and Build with AI. View all.
About Majid
Build AI you can understand, test, and explain. I help students, developers, and educators move from tutorials to practical AI skills. Bring a question, a small project, or a prototype you want to improve. Here is what we can work on: - Build a document assistant that answers with sources. - Design an agentic workflow with clear tool permissions. - Diagnose a machine learning result and choose better tests. - Turn an AI topic into a clear lesson or demonstration. I am an Assistant Professor of Computer Science with a Ph.D. and 10 years across AI research and education. I am also an NVIDIA DLI Certified Instructor for Building Agentic AI Applications with LLMs and a University Ambassador. We will focus on one goal, work through an example together, and record your next steps. My goal is to help you understand the reasoning behind your work, not just copy code. Book a free intro call and tell me what you want to learn or build.
Why do I coach?
I enjoy the moment when a confusing idea starts to make sense. My goal is to help you ask better questions, test your assumptions, and make technical decisions independently. I combine research depth with patient explanation and practical examples, so you can keep learning after our session ends.
Work Experience
Founder
Nexus AI Solutions
March 2026 - Present
• Founded Nexus AI Solutions LLC, focusing on aligning IT infrastructure with business goals through strategic technology planning. • Integrated disparate systems into unified workflows, enhancing operational efficiency and collaboration. • Modernized legacy systems with cloud-native and serverless solutions, ensuring scalability and adaptability. • Conducted comprehensive cybersecurity assessments to identify vulnerabilities and implement best practices. IT Consulting
Volunteer Member, One-U Responsible AI Initiative
University of Utah
May 2025 - Present
Volunteer member of the One-U Responsible AI Community Consortium from May 2025 and its Policy & Frameworks Special Interest Group from October 2025. This is a volunteer affiliation, not a consulting appointment or employment.
AI Consultant
Clarion AI Partners
January 2025 - Present
• Advised a diverse clientele, including an AI strategy consultancy and law firm, on applied AI for workflows. • Identified optimal deployment of LLM and agent solutions to enhance expert work efficiency. • Provided strategic insights on when to leverage AI technologies and when to refrain from their use. Corporate Advisory and Strategic Business Advice
NVIDIA DLI Certified Instructor & University Ambassador
NVIDIA
2025 - Present
NVIDIA Deep Learning Institute Certified Instructor for Building Agentic AI Applications with LLMs (English), certified 17 November 2025. NVIDIA DLI University Ambassador. These are program credentials and affiliations, not NVIDIA employment.
Assistant Professor
Utah Valley University
July 2024 - Present
- Lead and secure funded AI research projects with business partners, translating cutting-edge research into real-world applications. - Architect and deliver applied AI systems and project-based courses in AI system architecture, ML pipelines, and GenAI applications (e.g., LLMs, LangChain, RAG). - Mentor and guide students and teams on prompt engineering, vector search, cloud deployment, and AI project execution. - Key projects include: Wind Turbine Maintenance (drone-based thermal/RGB inspection, CNNs), Public Record Management (NLP, Transformers, AWS Bedrock), Autonomous Vehicle Safety (YOLOv12, Vision Transformers), and LLM Teacher Training Platform (RAG, OpenAI API, LangGraph). Higher Education Teaching, Python (Programming Language) and +4 skills
Postdoctoral Researcher
Utah Valley University
August 2023 - June 2024
Designed real-time drone imaging for wind turbine maintenance. Calibrated drones for accurate 3D imaging. Used RGB and thermal imaging to detect blade issues. Worked with path-planning teams to ensure safe navigation. Contributed to application development and experiment reporting. Published industry-relevant research. Computer Vision, Python (Programming Language) and +2 skills
Education
Southern Illinois University-Carbondale
Doctor of Philosophy (Ph.D.), Computer Science
2018 - 2023
Dissertation: A New Approach to Synthetic Image Evaluation (2023).
Southern Illinois University-Carbondale
Master of Science (M.Sc.), Computer Science
2015 - 2017
Grade: 3.8 Activities and societies: Tennis Title: Predicting the Stock Market Using News Sentiment Analysis The main objective of this research is to investigate the accuracy of predicting the price movements of the Dow Jones, which is one of the famous indices of NYSE, which is by far the world's largest stock exchange by market capitalization, using the News Sentiments derived from GDELT database which is the largest, most comprehensive, and highest resolution open database ever created. Keywords: NLP, Big Data, GDELT, Stock Market, Prediction, Dow Jones Index, Machine Learning, Ensemble Methods Databases, Python (Programming Language) and +2 skills
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