Ashlyn Bain

 w e l c o m e 


a b o u t   m e

I launched my journey into the tech industry in 2020, driven by a passion for challenges and a love for learning. Today, I'm an AI Engineer at IBM and have graduated from a prestigious Data Science Master's program at The University of Texas at Austin. Hook 'Em!







t e c h n i c a l   s k i l l s




p r o j e c t s

Computer Vision

CS 394D - Deep Learning

Principal Component Analysis

DSC 385 - Data Visualization

K-means Clustering

DSC 385 - Data Visualization

Data Analysis

DSC 385 - Data Visualization

Data Analysis

DSC 385 - Data Visualization

Data Analysis

DSC 385 - Data Visualization

Creating Functions

DSC 385 - Data Visualization







t e c h n i c a l   e x p e r i e n c e


Artificial Intelligence Engineer - IBM

Austin, Texas
Jan 2023 - Present
Full-Time

- Led a project for a Fortune 500 chemical company, processing thousands of daily ServiceNow IT tickets using generative AI. The solution classified IT tickets as requests or incidents and assigned Configuration Items (CIs) to incidents, achieving a 95% accuracy rate utilizing few-shot prompting techniques. Additionally, developed a separate summarization tool for IT managers, providing overviews of tickets requiring attention and significantly reducing ticket review time.

- Directed the development of a Retrieval-Augmented Generation (RAG) solution for a top S&P 500 semiconductor client, leveraging their internal documentation to create an advanced search and data retrieval system. This initiative integrated a watsonx Assistant front-end for natural language queries and Watson Discovery as a knowledge base, managing thousands of documents.

- Implemented an advanced watsonx Assistant solution for a major U.S. municipality, designed to handle external resident queries. The project utilized NeuralSeek and Elastic Search as the knowledge base for semantic search, significantly improving access to city services and driving a more efficient user experience for millions of residents.

Senior Data Scientist - IBM

Chicago, Illinois
Summer 2022
Internship

- Developed end-to-end pipelines for data extraction, transformation, and loading (ETL), as well as modeling, analyzing, and classifying data using techniques such as logistic regression, decision trees, and Principal Component Analysis (PCA).

- Deployed machine learning models on IBM Cloud Pak for Data and supervised performance with watsonx.governance, ensuring oversight of model drift and degradation for continuous optimization.

Data Engineer - AECOM

Austin, Texas
Jan 2021 - Nov 2022

- Designed a transportation and safety database in ArcGIS Pro to identify key thoroughfares for improvement and leveraged Python and ArcPy to convert ESRI Binary Grids for flood hazard analysis.

Water Resources Engineer - AECOM

Austin, Texas
Dec 2020 - Jan 2021

Senior Teaching Assistant - A&M

College Station, Texas
Aug 2017 - May 2020







e x p l o r e

s e e   t h e   w o r l d