Sophomore, mechanical engineering major

EDUCATION

Alabama A&M University, Expected May **27 Normal, AL

Bachelor of Engineering in Mechanical Engineering, Presidential Scholar, Honors Scholar, 4.0/4.0 GPA

SOFTWARE AND TECHNICAL SKILLS

Programming Languages: Proficient in Python, C++, SQL, JavaScript, R, Arduino

CAD Tools: SolidWorks, Finite Element Analysis, Flow Simulation

Fabrication: Lathe, Plasma Cutting, CNC Machining, 3D Printing, Soldering

Data Analysis: MATLAB, Tableau, Data Analytics

Web Development: HTML5, CSS3

Other: Git, Microsoft Office

COURSE WORK

• Engineering Programming • Engineering Analysis • Applied Differential Equations • Calculus III • Physics with Calculus I • Calculus II • ME 101 • CHE 101 • Calculus I

PROJECT EXPERIENCE

November 2023 – Present Formula SAE & NASA Human Rover Exploration Challenge Normal, AL

Collaborative Team Member

Developed critical reports for the rover and Formula SAE vehicle, which ensured the team's eligibility for competition.

Contributed innovative design concepts for the rover’s structure, enhancing both its visual appeal and functional integrity.

Spearheading the rover proposal for competition submission while collaborating on design refinements.

Engineered key components of the Formula car’s electrical system, including the wiring harness and ECU, improving operational reliability.

Designed an efficient radiator model using SolidWorks, enhancing the cooling system for optimal engine performance.

Led recruitment and outreach efforts, expanding team participation and fostering interdisciplinary collaboration.

Led the design of key vehicle components, using SolidWorks to develop 3D models that contributed to the optimization of the Formula car’s aerodynamics and structural integrity.

Reduced manufacturing time by 15% through the use of lathe machines and 3D printing for custom components.

Played a pivotal role in assembling the rover, leading to a successful competition showcase.

January 2024 – Present Research Project: Revealing Hurricanes Using Dynamic Mode Decomposition Normal, AL

Team member

Analyzed high-resolution hurricane evolution data using MATLAB, revealing critical insights into storm dynamics that improved forecasting accuracy.

Streamlined data preprocessing, improving analysis efficiency by 20%, while enhancing model clarity through detailed visualizations and eigenvalue analyses.

Presented findings that contributed to a deeper understanding of hurricane behavior, with implications for disaster preparedness.

WORK EXPERIENCE

May 2024 – July 2024 Altimate Care & Services, LLC Houston, TX

Office Manager

Improved patient processing efficiency by 30% by implementing a more organized filing system, ensuring accurate and timely record-keeping.

Enhanced customer service satisfaction by addressing and resolving 95% of patient inquiries and billing issues in under 24 hours.

Led scheduling and office software integration, reducing appointment errors by 15%.

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