NMC2 / G-Research
Software Engineer
(May 2024 - Present)
Amazon Web Services
Software Development Engineer Intern - Redshift
(May 2023 - July 2023)
- Developed CI/CD pipeline with Ruby to reduce deployment on-call time from 5 days to 2 days with automatic merging, integration testing, deployment, and rollbacks
- Wrote end-to-end integration tests in Java for Redshift database cluster failure remediation functionalities and increasing coverage by 250%
- Designed alarms to monitor performance of CI/CD pipeline and deployed software
CGN Global
Data Engineer Intern
(May 2021 - August 2022)
- Used C# to retrieve data from API and merge into SQL Server database
- Architected data solution for one of our top clients in an ETL staging server with SQL
- Debugged and fixed data transform issues in production environment to avoid significantly impacting over 800 active users.
- Collaborated in the design and build of data analytics platform
- Designed tools to support provision of enterprise data for transactional reporting and dashboards
TWG Technologies
Machine Learning Engineer Intern
(May 2021 - July 2021)
- Preprocessed and cleaned image dataset with OpenCV for training
- Designed and integrated Pytorch image classification models with applications
- Created object detection algorithm with Tensorflow API
- Responsible for the designing and implementation scalable systems to properly integrate machine learning with AWS SageMaker
- Explored and implemented MLOPs best practices
Biomedical AI Lab at UNT
Machine Learning Researcher
(June 2020 - December 2020)
- Read in accelerometer data as x, y, and z coordinates from Android device to build dataset from the ground up
- Cleaned and prepared data with Pandas and Numpy for training and testing
- Developed LSTM model with Tensorflow to use coordinate data to recognize hand gestures
- Co-authored book chapter on autoencoders, embeddings, and their applications
