AI/Machine Learning

Excited for the power of data to drive impactful change and solve real-world problems.

With 3 years of experience as a machine learning and software engineering, I’ve delivered healthcare projects in predictive diagnostics, predictive nutrition, and personalized medicine while aligning ML initiatives with business objectives to make models more accurate and better user experience. My background includes managing a startup focused on developing software for cell targeting and optimizing bioreactors, in which significantly improving efficiency by 10% and its revenue. Eager to contribute to the healthcare space by leveraging predictive models and LLMs, I thrive in roles that balance hands-on model development, MLOps and collaboration.

What I’m working on

Projects

Experience

Engineer/Data Scientist
Streambio, Engineer
Riverside, Ca | June, 2015 - August, 2022

  • Engineered bioreactors, optimizing biological process conditions.
  • Designed and implemented cell counters and cell analysis software.
  • Developed embedded systems to automate manufacturing processes.
  • Utilized Python and machine learning models for data analysis and trend identification.

Data Scientist
6122 Media LLC, Data Scientist
Remote | February, 2021 - December, 2022

  • Designed and developed an innovative application for accurately determining body fat percentage.
  • Leveraged machine learning techniques, hyperparameter optimization, cross-validation, feature selection, and engineering on a diverse dataset to achieve 95% model accuracy.

DevOps Engineer
Nova Tech Insights, Devops engineer
Remote | November, 2023 - August, 2024

  • Implemented a recommendation ML model coupled with a DevOps approach to orchestrate container deployment on AWS via Terraform.
  • Established CI/CD pipeline and utilized Terraform to automate and have reusable code to automate lifecycle.
  • Implemented autoscaling, monitored with AWS CloudWatch, and collaborated on container security, resulting in an efficient, scalable, and reliable system.
  • Developed a facial recognition system using Siamese neural networks with TensorFlow for application authentication.

Certifications

Badges & Skills

Education

University of California, Riverside
August, 2011 - December, 2015

B.S. Bio

California Institute of Technology
January, 2022 - December, 2022

Machine Learning & Robotics