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Education

Massachusetts Institute of Technology

Master of Engineering in Electrical Engineering and Computer Science [Expected June 2024]

  • GPA: 5.0/5.0
  • Concentration in Computer Graphics and Human Computer Interaction
  • Notable Courses: Computational Design and Fabrication, Advances in Computer Vision, Machine Learning for Inverse Graphics, Shape Analysis, Advanced Computational Photography.

Bachelor of Science in Computer Science and Engineering, Minor in Japanese [June 2023]

  • GPA: 4.7/5.0
  • Notable Courses: Computer Graphics, Design and Analysis of Algorithms, Operating System Engineering, Computer Systems Engineering, Software Construction, Machine Learning.

Experience

MIT Electrical Engineering and Computer Science Dept. [Sept. 2023 - Dec. 2023]

Graduate Teaching Assistant

  • Serving as a TA for the Advanced Undergraduate Subject: Computer Graphics (6.4400).
  • Conduct weekly office hours, address student queries on Piazza, and provide academic support.
  • Compose and graded exam questions, as well as evaluate homework assignments.

Second Front Systems [July 2023 - Aug. 2023]

Data Science Intern

  • Engineered Dash and Plotly dashboards with dynamic filtering and pagination for real-time data visualization.
  • Implemented polynomial regression models for advanced trend analysis and future performance prediction.
  • Developed a data export feature, enabling users to download filtered data as CSV files.
  • Structured the Python codebase for modularity and Docker deployment.

MIT Computer Science and Artificial Intelligence Laboratory [Feb. 2023 - May 2023]

Undergraduate Researcher - Computational Design and Fabrication Group

  • Collaborated with a multidisciplinary team to develop a rigid body physics simulation for underwater gliders.
  • Implemented differentiable hydrodynamic forces, including lift and drag, as well as changes in mass into Nvidia’s differentiable simulation Python framework “Warp”, utilizing CUDA acceleration.
  • Optimized glider hull design using gradient descent on differentiated forces with respect to glider shape.
  • Enabled glider to optimize controls for faster horizontal speed or faster vertical descent.

MIT Electrical Engineering and Computer Science Dept. [Sept. 2022 - Dec. 2022]

Undergraduate Teaching Assistant

  • Served as a TA for the Advanced Undergraduate Subject: Computer Graphics (6.4400).
  • Conducted weekly office hours, addressed student queries on Piazza, and provided academic support.
  • Composed and graded exam questions, as well as evaluated homework assignments.

Intel Corporation [May 2022 – Aug. 2022]

3D Acceleration Intern

  • Developed discrete GPU driver updates to resolve bugs and enhance Direct3D performance for Windows.
  • Performed in-depth GPU performance profiling and analysis utilizing advanced analysis tools.
  • Engaged with modern DirectX9, DirectX11, and DirectX12 3D titles in Windows.
  • Provided technical support to developers using GPU systems for performance analysis.

MIT Mechanical Engineering Dept. [June 2021 – Sept. 2021]

Undergraduate Researcher - Backend Server Development

  • Collaborated with MindHandHeart to develop a website hosting therapeutic audio files for mental health support.
  • Established a server backend using Python in Django, hosted by Nginx on an Ubuntu server.
  • Designed a custom log-on system with use, content creator, moderator, and server administrator roles.

MIT Choi Labs [June 2021 – Sept. 2021]

Undergraduate Researcher - Embedded Systems Designer

  • Adapted open-source embedded mouse feeder systems for remote monitoring capabilities.
  • Engineered new hardware to interface offline mouse feeder using Raspberry Pi for internet connectivity.
  • Developed software for Raspberry Pi to monitor the mouse feeders and transmit data and alerts autonomously.

Andeno [June 2020 – Aug. 2020]

Data Science Intern

  • Developed Python command-line scripts to process raw bank statement data and perform data analysis.
  • Categorized transactions into groups using Natural Language Processing techniques.
  • Verified users’ income, expenses, spending, and credit history and generated customer analysis and statistics.

Skills

Programming Languages: C/C++, Python, C#, Java, Julia, MATLAB

Frameworks: Direct3D (DirectX), OpenGL, PyTorch, UNIX, Arduino, ESP32

Proficiencies: Computer Graphics, Computer Vision, Machine Learning, Operating Systems, Embedded Systems