My Skills!

Languages & Tools:


C (v 17), Java (v 15), Python (v 3.7) & HTML (v 5), PyTorch, AWS, Google Cloud, Google Colab, TensorFlow, Jira, VGG-16, ImageNet

Skills & Interests:


Object-oriented programming, Reinforcement Learning, Interactive Machine Learning, Ethical AI, Diversity in Tech

My Projects

Datallite - AI4Good Lab Hackathon Winner


Developed a deep convolutional neural network (VGG pre-trained on ImageNet) that takes in satellite images and outputs
educational indicators that are used to produce maps identifying areas, in developing countries, most in need of data collection.

Achieved a training accuracy of 80% and a testing accuracy of 79%.

Check out the Datallite Website!
Check out the Winning Code on GitHub!
Check out Datallite's Video Demo!

Datallite has had multiple articles published by the AI4Good Lab. If you wish to read more about the project please click on the links below to learn more!


11 Ambitious AI prototypes for a better world
Satellite Imagery and Machine Learning - The dynamic duo to combat data gaps?


Picture of the Datallite team with Accelerator Award written on top our pictures.

BST Balancer:

Created Java OOP files to read Binary tree and Binary Search Tree's. Using file I/O I created a new file that wrote the new balanced BST. Utilized my understanding of file I/O operations, OOP, constructor chaining, per-order, in-order and post-order traversals.

Check out my code!