I have three years of experience at AMD and Xilinx as a Software Engineer in Machine Learning (ML), developing ML models to enhance EDA (Electronic Design Automation). There, I implemented incremental random forests using Scikit-Learn estimators, natural language debug tools using lemmatization, POS tagging, etc., and visualization tools using Plotly Dash, Seaborn, and Matplotlib. I've filed 3 patents to the USPTO and published 2 research papers in ML in EDA and Compute for Social Good.
I'm currently pursuing MS in Computational Data Analytics at Georgia Tech.