Resume

  • Purdue University | Bachelor of Science in Mechanical Engineering, Honors College Graduated: May 2023 | GPA: 3.54/4.0 | Honors College GPA: 3.83

    Carnegie Mellon University | Master of Science in Mechanical Engineering Expected graduation: May 2025 | GPA: 4.0/4.0

  • Purdue University Railroad Club| October 2019 – May 2023
    -Club Treasurer (Fall 2022), Club Vice President (Fall 2021): Organizing efforts to rebuild, conduct track planning and layout, bench work of model railroads

    Turkeys From Heaven | December 2015 - Current
    -8 years of service: volunteer work for Alabama based community service project feeding 2,000 families in need for the holidays.

    Physics Teacher | August 2015, 2016, 2017
    -Volunteer teacher in Gaowen Primary School, Congjiang, Guizhou, China. Taught Primary School Children physics and hand crafting skills.

  • Purdue University | RC Vehicle CAD & Analysis | Spring 2023

    Modeled an RC vehicle in a team of four, utilizing Siemens NX for top-down assembly and parametric modeling.

    Conducted comprehensive simulations, including FEA, CFD, and motion analysis, to evaluate and optimize the vehicle's performance across various scenarios.

    Implemented topology optimization techniques on the vehicle's shock tower, achieving a 32% reduction in weight while maintaining a factor of safety greater than 2. Refined the car shell design to decrease aerodynamic drag by 4.16%, enhancing overall efficiency and performance.

    Purdue University | Sun-Tracking Solar Panel | Spring 2023

    Engineered and prototyped a solar panel system capable of automatic sun tracking, complemented by market, customer, and patent research for commercial viability.

    Executed rapid prototyping to refine the tilting mechanism, streamlining the path from concept to functional prototype.

    Developed and modeled a durable frame with a focus on material selection, performed FEA for critical components, and designed an electronic control system for sun-tracking.

    Created a comprehensive BOM, conducted make vs. buy analysis, and performed prototype testing to validate product performance and energy optimization.

    Carnegie Mellon University | CV-Based Detection System for Grade Crossing Safety | Fall 2023

    Engineered a computer vision-based software capable of autonomously detecting vehicles and pedestrians at railroad crossings, triggering alerts to train engineers if an obstruction persists on the tracks as a train approaches.

    Implemented image processing techniques, including down sampling, masking, and closing, to enhance object detection accuracy.

    Attained a perfect 100% detection rate for the presence of any object on the rails and a 96% success rate in identifying the specific type of obstruction (vehicle or pedestrian) within the testing dataset.

  • Purdue University | Tepole Lab| Fall 2021 - Spring 2023

    Under the guidance of Professor Adrian Buganza Tepole, conducted research to create a Finite Element Analysis (FEA) mod for Minecraft, aimed at serving as an educational tool to illustrate the principles of elastic deformation of structures.

    Carnegie Mellon University | CERLab | Fall 2023 - Current

    Collaborating on a research initiative under the guidance of Professor Kenji Shimada and in partnership with Misumi Corporation, focusing on the development and training of an advanced AI/ML model. This project aims to accurately predict the material and manufacturing costs based on engineering drawings of parts.

  • CAD and Parametric Modeling

    Advanced proficiency in Ansys, Creo, Siemens NX, and SolidWorks for sophisticated parametric modeling, motion simulation, and 3D rendering, facilitating intricate design and optimization tasks.

    Finite Element Analysis (FEA)

    Skilled in leveraging Abaqus, Ansys, and Siemens NX for comprehensive finite element analysis, enabling precise evaluation of structural, thermal, and mechanical properties in engineering designs.

    Computational Fluid Dynamics (CFD)

    Experienced with Siemens Star CCM for performing computational fluid dynamics simulations.

    Shape Optimization

    Proficient with Altair Inspire and Ansys for shape optimization, focusing on achieving optimal material distribution and performance characteristics through advanced design techniques.

    Programming and Machine Learning

    Machine Learning: Proficient in applying PyTorch in Python for the development of machine learning algorithms, significantly enhancing data analysis, pattern recognition, and automation capabilities.

    Computer Vision: Proficient in applying Python and C++ for computer vision projects, including image processing, object detection, and real-time video analysis.

    Engine Simulation

    Knowledgeable in utilizing GT Power for engine simulation tasks, aimed at optimizing engine performance, fuel efficiency, and emissions reduction.