Computer Science Student

Technical Skills: Python, SQL, AWS, PyTorch, TensorFlow, Pandas, NumPy, OpenCV, Flask, Java, C/C++, JavaScript, HTML, CSS

Education

• B.S., Computer Science

  Texas A&M University (Expected May 2027, GPA: 4.00)

Work Experience

Incoming SWE Intern @ Samsung Semiconductors (Summer 2025)

Undergraduate Researcher @ Texas A&M University - InfoLab (September 2024 - Present)

• Enhanced transcript summarization using LLMs and NLP techniques, improving summarization through disfluency injections.
• Developed and fine-tuned few-shot prompts, optimizing LLM parameters to compare the effectiveness of injection strategies.

Data Science Intern @ AncientScript (June 2024 - August 2024)

• Created a Python data preprocessing pipeline to process handwriting images into PyTorch tensors.
• Applied affine transformations (e.g., rotations, shears) using OpenCV to augment training datasets for CNN models.
• Annotated over 1,000 handwritten images to generate accurate training data for generative models.

Projects

Pokemon Card Generator

🐈 GITHUB REPO

‼️ Fun Card Opener Website ‼️

This project involved designing and training a Deep Convolutional Generative Adversarial Network (DCGAN) to generate Pokémon card images from scratch. The process included preprocessing a dataset of Pokémon card images, implementing the DCGAN architecture, and fine-tuning the network to produce high-quality, realistic outputs.

Here is the Training Loss I had gotten for both my Generator and Discriminator.

Turning Test

Can you tell which is real vs fake?

Generations:

Publications

Student Research Week Poster

Here is the poster I made for student research week at TAMU