NVIDIA DLI Certified Instructor. LLMs, agents, and retrieval. PhD in Computer Science with doctoral research in generative AI, in applied AI since 2015.
Research
Research on LLMs, agents, and retrieval. PhD in Computer Science with doctoral research in generative AI: conditional VAE and GAN models for synthetic-image generation and evaluation. Postdoctoral research at the University of Pennsylvania; that appointment brought research collaborations with Stanford and Johns Hopkins.
Industry
Advises on LLM and agent workflows: RAG over private data, agentic tool use, evaluation and guardrails, and when not to use AI. Earlier work in healthcare data science.
Community
AI for data governance and privacy with public institutions, and responsible-AI policy. 2026 AI Utah 100 honoree.
How students rate Majid’s teaching
- Respectful responses
- 5.00/5
- Feedback that helps learning
- 4.78/5
Selected ratings from the Spring 2026 course students reviews
The examples and applied experiments were really good for understanding concepts through experience.
The examples he gave and how he walked through every step of the process helped a lot.
Selected excerpts from Majid’s anonymous course evaluations · Spring 2026