Work Experience
Machine Learning Engineer at Gemini, LLC
As a Machine Learning Engineer at Gemini, LLC,
I am responsible for the end to end development of ML models,
including model research and testing, implementation, and deployment using DataBricks and/or AWS resources.
Models used include decision trees, text sentiment analysis transformers, and Monte Carlo methods.
I also developed multiple volatility indicators using econometric and statistical models.
In this role I've really enjoyed:
- Experimenting with models and finding solutions that provide business value
- Creating ML deployment pipelines and figuring out how money and time can be saved at each step using different approaches.
Programmer Writer at Amazon (AWS)
As an AI/ML technical writer at AWS, I worked with multiple teams to create technical documentation and tutorials for customers using Amazon SageMaker. In my work, I regularly used AWS services including but not limited to Amazon SageMaker distributed (a deep learning distributed training library), Amazon S3, IAM, Textract and Rekognition.
I have co-authored a number of blog posts about new AWS AI/ML products and features that can be found here.
Business Development Lead at Schneider Estates, Inc
Before working at AWS, I worked as a lead of business development in a boutique real estate brokerage in Santa Cruz, CA. I helped created automated systems for lead acquisition and increased the volume of leads in our sales funnel by 3x.
Education Background
I received a Masters in Computer Sciences from Georgia Institute of Technology (Georgia Tech) with a specialization in Machine Learning in December of 2022. I graduated with a 4.0 GPA.
I completed my undergraduate studies at the University of California, Santa Cruz. I received a B.A. in Economics, Summa Cum Laude with Highest Honors in the Major as well as a minor in Mathematics. I graduated with a 3.97 GPA.
Positions I'm Interested In
I am open to full-time software engineering or machine learning engineering positions. I am able to work remotely, or on-site in San Diego, California.