Listing of Professional Work
On the grid there exists a vast amount of tabular data, that once cleaned and prepped can provide insight into determining if a true power outage has occurred and to send a resource out to fix it.
Without a reference to ground, determining a single phase open neutral condition is a fairly difficult task. For this project we produced experimental data in a lab to create a model that was then tuned and trained for live data from the grid.
A complete end-to end pipeline that monitors incoming tickets, gathers all relevant data, and assigns the correct resource to fix the issue. This project was funded through a research grant earned through competing in a company wide competition.
Algorithm that tracks all events on the grid and determines if there is an uptrend in some event class.
On the grid, due to all the interdependencies of systems, noise generated from an unrelated event can produce a positive signal for a model. Due to this, a robust filter system must be made pulling and linking all data from all systems to ensure events are clean from extraneous noise.
Listing of Personal Work
Created a theoretical framework for detecting and monitoring threat in real time using an ensamble of AI models. An overview of this framework can be read here.
Using RoBERTa I was able to produce a question and answer system that was able to find the indexes tagging the part of phrase that most accurately represented the predicted sentiment with a fairly high confidence. This project took advantage of PyTorch and TPUs to produce a quickly trained, complex, and robust model.
Built a serverless AWS application that uses the reddit API to scan for keywords in /r/WatchExchange. The application then sends me a text if a keyword is found in a post that I have not seen before. This application uses dynamoDB as the backend database to store the unique ids of posts that it has already parsed. The full program and architechture can be found on by github linked here.