Developed multiple Neural Networks to solve both Regression and Classification problems using TensorFlow, Keras, and Python.Improved Neural Networks by Preprocessing Data and using Convolutional Layers, Pooling, Regularization and Normalization. Created an Object Detection Model with Neural Networks to recognize traffic lights and simulated moving on a green light usingTensorFlow, Open-CV, and a Raspberry Pi Car.Implemented a virtual self-driving car learning simulation using both the NEAT (Neuroevolution of Augmenting Topologies) algorithm and Reinforcement Learning to present the advantages and disadvantages of both solutions. Gave multiple presentations about Machine Learning and Neural Networks, and Object Detection.

Implemented a RESTful API with multiple endpoints for data transfer using Node.jsDeveloped algorithms that dynamically analyzed JSON Files and stored data in MySQL databases using PHPContributed to a redesign of the microservice communication pattern by replacing REST APIs with RPC APIs using the Java Spring Framework, significantly reducing latency issuesTested, maintained, and recommended software improvements to ensure robust functionality and optimization

Planned and engineered RESTful web services to manipulate dynamic datasetsDeveloped, updated and organized MySQL databases to handle customer data and company inventoryTested programs and databases to identify issues and make necessary modificationsReviewed website code to validate structures, assess security and verify browser, device and operating system compatibility

Created lesson materials, visuals and digital presentations to supplement lesson plans Supported instructor with test administration, curriculum development and assignment grading Tutored struggling students individually and in small groups to reinforce learning concepts