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Data Engineer at Open Architects K12. Duke University MS in ECE Graduate.
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Assessing your cultural and operational fit
Open Architects K12
Data Scientist
June 22, 2026 – Present
handwritten-text-extraction-ocr-llm
October 17, 2024 – October 20, 2024
Example of using OCR model and LLM to parse out unstructured doctor notes into JSON format.
View ProjectHugging_Face_AWS_Tutorial
February 20, 2024 – February 22, 2024
Zero to One: How to find pre-trained models on Hugging Face, host them on AWS SageMaker, and query them for your outputs.
View Projectimage-classifier-web-app
April 22, 2023 – June 12, 2023
Image Classification Web Service built with Flask, AWS App Runner, and AWS Lambda
View Projectrealtime_object_detection
March 4, 2023 – March 10, 2023
Object Detection model that will be fine-tuned to detect basketball players on a court. The goal is to have this model passed to a simpler logistic regression model to produce separate labels for players on different teams.
View ProjectDockerized_AutoML_with_Rust
February 20, 2023 – March 4, 2023
Utilizing Rust to build an AutoML application. Will be deployed to a Kubernetes service
View ProjectHugging_Face_Model_Downloader
January 23, 2023 – February 6, 2023
Pulls Hugging Face models into local repository in ONNX format.
View ProjectNBA_Over_Under_Prediction_App
December 5, 2022 – December 14, 2022
This repository contains an NBA over/under prediction app built with Python and Flask. The app uses machine learning to make predictions on the over/under bets for NBA games. The user can input information about a game and the app will provide a prediction on the over/under total.
View ProjectSwing-Trading-Stock-Bot
September 22, 2020 – December 15, 2020
A Python-based bot that uses the Alpaca API and swing trading principles to buy and sell securities.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in applying data science and machine learning to various domains, including finance, sports, and image/text processing. The use of Rust in some projects indicates a willingness to explore performance-oriented languages, which could be a positive for certain technical cultures. However, the lack of team-based projects or professional experience beyond a future role makes it difficult to fully assess cultural fit, particularly regarding collaboration, mentorship, and adaptability within an established team.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's experience is limited to personal projects and a current Data Scientist role with a future start date, offering no insight into collaborative work, problem-solving approaches, or communication style in a team setting.