Project · 2010-Present
Academic Teaching & Research
Shaping the Next Generation of AI Architects
Context
The field of AI and data architecture is evolving rapidly. Practitioners need continuous learning, and the next generation needs mentors who bridge academic theory with production practice.
Approach
Teaching graduate courses in AI systems, data management, and enterprise architecture. Mentoring doctoral students on cutting-edge research. Publishing courses on platforms like Pluralsight to reach broader audiences. Writing and presenting at global conferences.
Impact
Adjunct faculty since 2010, with more than 20 courses designed across AI, data, machine learning, and computer science. Contributed to the development of practitioners who now lead AI and data initiatives at major organizations worldwide.