TYLER MCGILVRY-JAMES

Served as the intermediary for lab and engineer services, developing and implementing novel technical solutions for heart stent valve testing and development equipment. Provided IT support and integrated user feedback into systems, while spearheading the conception, development, and implementation of new software, hardware, and methods with an emphasis on automation and workflow improvement.

Provided short and long-term tutoring to students across various subjects, including algebra, chemistry, calculus, and linear algebra. Dedicated weekends to tutoring, driven by a passion for mathematics and teaching.

Operated a self-employed tutoring service for local high school and college students in STEM subjects. Conducted individual weekend tutoring sessions, motivated by a love for mathematics and teaching.

Worked as a door-to-door and event sales representative, petitioning for local and government election ballots. Engaged with hundreds of individuals for 6-8 hours daily, pitching ballots and gathering customer feedback.

Responsible for grocery dispensing and picking operations within the Online Grocery Pickup department. Ensured efficient and accurate order fulfillment for customers.

Served as a Graduate Teaching Assistant for MTH 101 and MTH 103, assisting in course development and facilitation. Managed classrooms and provided teaching capacity for new teaching assistants.

Participated in the Department of Energy VFP WDTS program, focusing on AI modeling of reactive TMA-H2O systems and high entropy alloys using high-performance computing systems. Contributed to the project "Artificial Intelligence (AI)-enabled Computational Materials Science to Model Surface Dynamics and Complex Systems."

Contributed to the project "Development of Interatomic Potentials to Model Deformation of Structural Alloys and Compounds." Focused on developing models to understand material deformation.

Conducted defect classification and examination in scanning electron microscopy images using machine learning and AI-enabled toolsets. Utilized WEKA software package and Python libraries for the project "Applications of Machine Learning to Aid Microstructural Failure Analysis."

Developed interatomic potentials for metal-rich carbides to study creep deformation behavior in complex systems. Employed empirical and machine learning approaches, collaborating with international researchers.

Provided tutoring services to struggling and at-risk students from underrepresented or nontraditional backgrounds. Tutored in College Algebra, Trigonometry, and Calculus.

Grade: 3.11/4.0

Pursued a Minor in Computer Science, gaining foundational knowledge in programming and computational concepts. This enhanced my technical skill set.

Grade: 3.59/4.0

Completed a Bachelor of Science in Mathematics with a strong academic record. The curriculum included advanced topics in mathematics.

Grade: 3.63/4.0

Earned a Bachelor of Science in Physics, focusing on fundamental principles and applications. Achieved a high GPA in the program.

Grade: 3.19/4.0

Completed a Minor in Biochemistry, exploring the chemical processes within living organisms. This provided a multidisciplinary perspective.

Grade: 3.93/4.0

Obtained an Undergraduate Certificate in Computer Science, demonstrating specialized knowledge in the field. Achieved an excellent academic standing.