Machine Learning Models
Course work completed during COMP 562, an introductory machine learning class at The University of North Carolina. This class covered: classification, regression and ensemble methods, unsupervised learning and graphical models, and perceptrons and deep learning.
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Languages/Tools: Python, PyTorch, TensorFlow

Modeling of Potassiuam ion Channels
I employed specialized Python neuroscience modeling libraries to construct models reflecting alterations in potassium ion channels within the brain, integrating data from brain slices and pertinent research papers to ensure the accuracy and depth of the models.
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Languages/Tools: Python and NEURON library

Contributions to Consul-Terraform-Sync at HashiCorp
Created a intentions feature for Consul-Terraform-Sync product. Consul Intentions allows users to define access controls for services. This feature can aid in managing networking infrastructure. We would like to add the capabilities of Consul Intentions to Consul-Terraform-Sync in two phases; support Consul Intentions as a module input and then as a condition.
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Languages/Tools: Go, SQL, JSON