inspirit ai.

DEVELOPED AND TAUGHT BY STANFORD AND MIT ALUMNI

• Inspirit AI was a 10-week online course; myself and 4 other students formed a team with 1 graduate student mentor

• Learned fundamental AI concepts: linear & logistic regression, natural language processing, neural networks, convolutional neural networks, etc.

• Learned how to use common AI Python libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, etc.

• Completed a Google Colab computer vision project that detects distracted driving with CNNs and saliency maps

scholars program

fellowship

I researched and wrote about generative adversarial networks (GANs) and their applications in video game graphics. My blog miniseries “ARTificial Intelligence in Gaming” was published in Analytics Vidhya, a data science community with over 4 million monthly visitors.