Tesla Projects
Jira, PyTorch, Python Flask, HTML, JavaScript, Jinja2, Internal Databases, Restful APIs, Powershell
Designed in-house project decision-making application, using Python Flask, HTML, JavaScript, Powershell, and more, that mathematically computes the effectiveness of alternative courses of actions, decreasing cross-functional team decision agreement time by approximately 75%.
Developed and debugged python parallel programming controls and ML models for in-house hardware performance improvements, to help support a 30% increase in weekly plant production. Enabled neccessary data to be pushed and stored in interal databases.
Created line-balance flow optimization algorithms, in python to rebalance flow steps for one-third of the general assembly line, to assist in integrating new processes and manufacturing steps, to minimize station cycle-time
Unfortunately I can't share to much regarding these projects. To learn more feel free to contact me here