Work Experience

NASAGreenbelt, MD
Junior Machine Learning Engineer - ContractorSeptember 2024 - Current

• Leading the development, training, and testing of machine learning models for the classification of exoplanet candidates using time series light curve data, improving detection accuracy and efficiency.
• Designing and implementing a data pipeline to automatically process and analyze new TESS telescope data, streamlining the detection of exoplanet candidates and prioritizing them for further study.
• Created a comprehensive dataset of tens of thousands of exoplanet light curves, non-planetary light curves, and false positive eclipsing binary star system data ensuring high quality input for model training.

Dairy FitRemote
Machine Learning Engineer InternJune 2024 – September 2024

• Contributed to the development of machine learning models for analyzing cows using 3D scans and images, aimed at helping farmers make informed decisions on livestock management.
• Engineered and optimized deep learning models and pipelines for semantic segmentation of LiDAR data, leveraging state-of-the-art 3D machine learning techniques.
• Completed advanced training in 3D machine learning and computer vision, focusing on the end-to-end process of handling 3D data such as point clouds, voxels, and LiDAR data.

University of California Santa Cruz - School of Engineering IT DepartmentSanta Cruz, CA
Software EngineerJune 2021 - July 2023

• Sole engineer responsible for the development and maintenance of 50+ websites.
• Leveraged Python, JavaScript, and Bash scripting for site creation to reduce development time and cost by more than 25%.
• Upgraded and optimized more than a dozen Drupal sites and generated reusable PHP skeleton code for custom web modules, improving site performance and scalability.
• Developed new methods for upgrades and migrations to newer Drupal versions, presented solutions to software developers across the University of California system, improved cross-campus collaboration and efficiency.

IBM Thomas J. Watson Research CenterYorktown Heights, NY
Machine Learning Research InternJune 2018 - February 2019

• Led two machine learning medical detection research projects for high-risk patients, improving prediction accuracy for psychosis and drug abuse.
• Research peer reviewed, published, and presented at the February 2019 SPIE medical imaging conference.
• Designed and implemented a Python-based program with TensorFlow and Scikit-learn to efficiently assess and compare multiple classification and regression models on large datasets, reducing model selection time and improving overall model accuracy by over 15%.
• Engineered data cleaning and formatting tools that enhanced machine learning model accuracy by 20% through streamlined preprocessing, ensuring more reliable and consistent results.

View My Paper

Pelham School DistrictPelham, NY
Technology Office InternMay - June 2019

• Coordinated technical logistics for district-wide virtual STEM conference attended by over 2000 students and educators.

Education

University Of California Santa CruzSanta Cruz, CA
Computer Science B.S.2019-2023

Dobbs Ferry High SchoolDobbs Ferry, NY
International Baccalaureate Diploma2015-2019

Technical Skills

Awards and Publications

• Westlake Regional Science Fair - 3rd Place - Testing Quantum Encryption Protocols in Real-life Situations Using Secure Quantum Tunnels
• International Baccalaureate Award - Developed a school-wide program to integrate technology into classrooms
• Eagle Scout - Organized and led service project to build an outdoor classroom at local elementary school to teach students about ecological issues and sustainability