Experience

EveryDay Labs

• United States
• Primary and Secondary Education
• 1 - 100 Employee

• Data Engineer

  • Dec 2021 - Present



Ford Motor Company

• United States
• Motor Vehicle Manufacturing
• 700 & Above Employee

• Materials Science Research Engineer

  • Oct 2020 - Dec 2021

  - performed an extensive literature review of current PA66-based composite materials in the automotive, transportation, and defense industries - developed new polymer-matrix composite formulations with highly conductive properties - created new methods for testing the electrical and thermal conductivity of insulative materials - deployed on-prem and cloud-based SQL warehouse servers to store data for several R&D teams - developed ETL pipelines to securely transfer data off laboratory testing equipment - created pre-processing scripts to clean ambiguous material datasets - developed AI/ML algorithms to assist with the prediction and development of new material formulations - created a web app to view, sort, export, import, and visualize data from the SQL warehouse server - performed A/B testing on the web app to optimize scripts and web app processes Show less



Starbucks

• United States
• Retail
• 700 & Above Employee

• Barista

  • Jan 2020 - Oct 2021

  Drink creator, innovator, and artist. - fostered a welcoming and friendly atmosphere by engaging with customers, addressing their inquiries, and resolving any issues - operated various coffee and espresso equipment, ensuring proper calibration, maintenance, and cleanliness - maintained a clean and organized work environment, including cleaning and sanitizing equipment, utensils, and high-touch surfaces - prepared and served quality coffee and tea-based drinks - collaborated with team members and supported colleagues during peak business hours to ensure efficient operations - contributed to store maintenance tasks, such as restocking supplies and organizing inventory Show less



Ai Solutions

• United States
• Software Development
• 1 - 100 Employee

• AI Software Developer

  • Jul 2020 - Oct 2020

  - developed AI-based applications for various business solutions using Python-based ML toolkits and libraries (numpy, tensorflow, scikit-learn, pytorch, etc.) - assimilated and pre-processed raw datasets; resolved statistical relationships between data within datasets; determined weights, biases, and additional parameters for training and validating AI algorithms - created a stock market prediction model to determine future stock prices based on historical prices and trends - performed extensive literature review on past and future trends of AI-based solutions for use in business, commercial, and research applications Show less



University of Michigan

• United States
• Higher Education
• 700 & Above Employee

• Building Engineer

  • Oct 2018 - Mar 2020

  - managed the operations of the North Campus Recreation Building (NCRB) at the University of Michigan- communicated building and facilities issues to full-time university staff - ensured the proper operations of the building, equipment, and facility during peak hours- managed membership and locker sales and equipment check-out for use in the facility - performed routine building operation inspection and facility counts

• Undergraduate Research Fellow

  • Sep 2019 - Dec 2019

  - investigated the use of a Convolutional Neural Networks (CNN) for intergranular crack characterization in neutron-irradaited stainless steel 304 and 316. - gathered, processed, and labeled SEM image data for use in training, testing, and validation- developed a machine learning algorithm to perform crack identification and characterization in microstructural images of neutron-irradiated stainless steel- created the aforementioned algorithm in MatLab utilizing BioInformatic and Deep Learning toolboxes- performed validation on the algorithm with mean validation results ranging from 82-96% accuracy- optimized the crack characterization process by eliminating the need for manual testing and increasing the process productivity by over 10,000%- authored a peer-reviewed paper on the results of this algorithm and developed a tutorial for using this code in a lab-wide setting- presented the findings of this project at the Winter 2019 Michigan Design Expo at the University of Michigan in Ann Arbor, MI. Show less



Rheinmetall

• Germany
• Defense and Space Manufacturing
• 700 & Above Employee

• Metallurgical Engineer Intern

  • May 2019 - Aug 2019

  - performed failure analysis, run parts analysis, non-destructive testing, and microstructural and microchemical inspection on automotive pistons and bearings - practiced imaging techniques with SEM, optical microscopes, and stereoscopes, for microstructural inspection - performed non-destructive, dye-penetrant inspection on automotive pistons - developed and optimized a process to simplify the communication and documentation between customer inquiries and lab testing and analysis work - delivered technical test reports and inspection results for customers and company application engineers, project managers, design engineers, and company foundry engineers. Show less



Argonne National Laboratory

• United States
• Research Services
• 700 & Above Employee

• Research Assistant

  • May 2018 - Aug 2018

  - performed extensive literature review of academic journals, forecast reports, and online databases for information pertaining to the capacity, location, construction, and operation of all energy generating systems supporting the United States energy grid including petroleum, natural gas, renewable energy, and nuclear energy - developed energy storage models to demonstrate the need for emerging energy storage and battery technologies to support the United States energy grid in combination with a renewable-energy dominant energy market - developed energy market forecast models for emerging energy generation technologies relevant to supporting the energy grid - integrated the forecast model results into an agent-based energy generation network to aid in understanding the flow of energy throughout the energy grid - created the agent-based network utilizing SQL and Python - co-authored a peer-reviewed paper on the results of the literature search and preliminary results of the agent-based network model Show less



Argonne National Laboratory

• United States
• Research Services
• 700 & Above Employee

• Engineer Intern

  • Aug 2016 - Aug 2017

  Global Security Systems (GSS) Intern- performed extensive literature research on the construction, maintenance, and life-cycle of blowout prevention systems in the energy industry- developed predictive models for determining the risk of blowout prevention systems- constructed Technical Economic Analysis (TEA) models for renewable energy systems (nuclear, wind, geothermal, etc.)- created systematic visualizations and diagrams for complex multi-generational energy systems- developed risk analysis and gap models to analyze API and ASTM standards relevant to materials used in the energy and defense industries - created a SQL-based database containing the requirements of over 400 API and ASTM standards- authored a handbook of the aforementioned API and ASTM standard database Show less

• Engineer Intern

  • May 2016 - Aug 2016

  Nuclear Engineering (NE) Intern- developed Technical Economic Analysis (TEA) models for small modular and light water nuclear reactors- created monte carlo-based models to simulate various world economies for determining the risk and probability of economic success of nuclear reactors - developed sensitivity charts and distribution curves to qualitatively assess the aforementioned risk models- authored a peer-reviewed paper on the result of these research findings- presented the project findings via a poster presentation at the Summer Internship Honors Presentation at Argonne National Laboratory in Lemont, IL.- presented the findings of this project via an oral presentation at the Spring 2017 Honors Symposium at Lewis University in Romeoville, IL. Show less