
Builder/Seller at ORBTL AI. I use machine learning to help make maps!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ORBTL AI
Data Scientist
June 25, 2026 – Present
ChipSet
June 3, 2024 – September 21, 2024
Build better computer vision pipelines for geospatial data by splitting large images into sets of smaller images (or "chips") using ChipSet!
View ProjectMarine-Debris
May 29, 2024 – November 4, 2025
Backend for Marine Debris, a Zooniverse project
View Projectdrop-e
January 26, 2023 – April 23, 2024
Fast orthorectification of underwater towline camera data
View ProjectDebrisScan
August 27, 2022 – November 22, 2023
A tool to automatically label, classify, and count marine debris in your aerial imagery. Designed to automate the tedious parts of standing stock surveys for shoreline stranded marine debris. Powered by AI!
View Projecttfodapi-tools
October 1, 2021 – December 16, 2021
Python scripts and Colab notebooks to supplement the Tensorflow Object Detection API v2 (TFODAPI)
View Projectml-md-api
July 29, 2021 – September 23, 2021
A backend API for the automatic detection of marine debris in aerial images using deep learning-based object detection
View Projectmarine-debris-deep-learning
February 11, 2021 – October 1, 2021
The preprocessing, training, and evaluation code associated with Ross Winans's Masters Thesis entitled, "Automatic detection of Hawai'i's shoreline stranded mega-debris using deep learning"
View Projectmapping_marine_debris
October 7, 2019 – February 11, 2021
Scripts used to preprocess the 2015 DAR Aerial Imagery for use in deep learning.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in environmental data science, specifically marine debris detection and geospatial analysis. While this demonstrates deep expertise in a niche, it also suggests a potentially narrow focus. The target role is 'Data Scientist', which is broad. The candidate's fit depends on whether the target company's needs align with this specialized background. The projects are all personal, which is good for demonstrating initiative, but lacks insight into collaborative work environments. The candidate has only one current professional experience listed, which is also as a Data Scientist, aligning with the target role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving orientation and a focus on practical applications, particularly in environmental science. The consistent theme of marine debris detection suggests dedication and domain expertise. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity beyond project descriptions.