Muhammad Aurangzeb Ahmad
AI in Healthcare | AI Adviser | Public Speaker
- Role
- Adjunct Professor at University Of Washington Bothell
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Muhammad Aurangzeb Ahmad
AI/ML leader with deep experience guiding organizations through the full lifecycle of intelligent systems, from research and prototyping to deployment and governance.I work at the intersection of AI research, real-world product development, and governance, supporting teams as they move from experimentation to trustworthy deployment. My experience spans healthcare, digital health, and regulated AI, with a focus on systems that must be reliable, explainable, and ethically grounded. My work emphasizes clinical validity, data stewardship, privacy, and governance, particularly where AI systems interact directly with people and decision-making.Technical expertise include: generative AI, large language models (LLMs), retrieval-augmented generation (RAG), multi-agent systems, knowledge graphs (KGs), machine learning (ML), natural language processing (NLP), conversational AI, deep learning, model evaluation, and end-to-end AI/software lifecycles.I bring 15+ years of applied AI research and engineering experience, combining hands-on system building with rigorous evaluation and strategic oversight.I also speak publicly on AI, society, and the humanities, including as a speaker for Humanities Washington. I am particularly interested in questions of trust, identity, and human-AI interaction, including emerging work on digital doppelgängers and AI-mediated memory systems.Open to speaking engagements, advisory roles, and strategic collaborations related to AI deployment, governance, and human-centered AI systems.
Experience
Adjunct Professor
University Of Washington Bothell
Jan 2017 — Present
Education
Rochester Institute of Technology
Bachelors of Science (Honors), Computer Science
2001 — 2006
University of Minnesota
PhD, Computer Science
2006 — 2012
Skills
- Matlab
- Social Network Analysis
- Machine Learning
- C++
- Research
- Data Mining
- Software Engineering
- Python
- Latex
- Algorithms
- Artificial Intelligence
- Behavioral Modeling
- Data Analysis
- Computer Science
- C
- Programming
- Java
- R
- Social Analytics
- Analysis
- Data Science
- Big Data
- Pattern Recognition
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