Hardworking and resourceful problem solver with experience developing impactful design solutions within an engineering company. Highly skilled in various coding languages and web app development frameworks. Effective communicator and collaborator who is committed to working productively alongside multiple teams and cross-functional groups.
Work History
Feature Analysis Database
Sorenson Engineering
2023 - 2025
Contributed to the development of a web application platform (Django/React.js hybrid framework) used to enter, store and access data for manufactured parts in the company, including specific data on over 100 different part features.
Created an easily accessible and dynamic process for feature analysis, resulting in significantly reduced turnaround time for creating engineering plans for incoming projects.
Tool/Gage Inventory Management Webapp
Sorenson Engineering
01.2023 - 2025
Worked with machine technicians, tooling/gage coordinators, and several manufacturing engineers to develop a web application (Django based framework) used for managing various types of tooling throughout the company.
Facilitated a sharp reduction in tooling-related delays in the company's manufacturing process which allows for processing orders for as many as 30 new tools per day.
Created a streamlined process for viewing current inventory levels, regulating automatic tool restocking, and managing tool storage layouts across multiple crib locations.
Purchase Order Automation
Sorenson Engineering
01.2023 - 2025
Constructed the logic for a streamlined purchasing automation that allows for ordering both in-house and outsourced tooling used throughout the company.
Facilitated up to a 95% increase in tool ordering efficiency after implementation.
Pin Gage Request Webapp
Sorenson Engineering
2023 - 2025
Developed a web application (Django based framework) used to manage the delivery of quality inspection tooling throughout the company.
Resulted in up to 75% reduced manufacturing delays related to quality assurance.
Heart Disease Prediction Model
California Polytechnic State University
2022 - 2022
Applied skills in Python coding on both Google Collab and Jupyter Notebook platforms to develop a heart disease prediction model that predicts cases with approximately 85% accuracy.
Implements machine learning concepts such as logistic regression, classification models, binary cross entropy loss, and stochastic gradient descent.
Utilizes various defined performance metrics to execute error evaluation on the model and improve model accuracy.