I am currently focused on integrating machine learning models into web applications, aiming to create interactive and user-friendly platforms that leverage AI to deliver impactful user experiences. Additionally, I am exploring natural language processing to broaden my understanding of its applications. Starting in July, I will begin my internship as a Machine Learning Software Engineer at Valeo.

• Programming Languages: Python, C++, R, SQL, Matlab, LaTeX
• Libraries: PyTorch, Tensorflow, SciKit, NumPy, Pandas, Matplotlib, Torchvision, OpenCV, Pillow, NLTK
• Web Development: JavaScript, CSS, HTML, Flask, React
• Tools & Technologies: Git, AWS, Docker, HuggingFace, SLURM, Tableau

• Undergraduate Researcher: My research focuses on the classification of Whole Slide Images. I was supervised by Prof. Roummel Marcia and graduate mentor Mohammed Aburidi. My work has been accepted for publication and presentation at IEEE EMBC 24. You can view my work Paper | Code

• Summer Undergraduate Researcher: Led a team to enhance the robustness and accuracy of classification models through Generative Adversarial Networks. You can find the work I did here.

• Data Science Challenge Intern: Designed models for diagnosing irregular heartbeats and reconstructing cardiac transmembrane potentials at Lawrence Livermore National Laboratory. You can find the work I did here

• DigitPro99: Interactive web-based digit recognition application capable of real-time prediction, comprehensive user interactions, dynamic image annotation, and data retrieval. View Project Here

• Lung Cancer Diagnosis with Medical Imaging: Managed a dataset of 25,000 images, focusing on lung cancer tissues, and implemented various machine learning models. View Project Here

• Modeling the Relationship Between CO2 Emissions and Human Population: Constructed mathematical models to analyze the correlation between CO2 emissions and human population dynamics. View Project Here

• Fifa Players Analysis Dashboard: Interactive dashboard, created using Tableau, provides detailed insights into FIFA player statistics from the years 2018 to 2022. View Project Here

• SIAM Undergraduate Representative: I represented the interests of undergraduate students and facilitated communication within the SIAM community at UC Merced. I also organized events and activities to promote mathematics and its applications among students. Follow activities on Instagram.

• Learning Assistant: I provided academic support to students taking Calculus, helping them understand concepts and improve their performance. Learn more about the Learning Assistant Program.

• ACM SIG Data Science Lead: I created and led interactive workshops focused on Data Science for over 50 undergraduate students. Follow UC Merced ACM on Instagram.

🎵 Music: I believe music fuels creativity and helps maintain a balanced lifestyle. I am an avid K-pop fan, with Aespa and Ive being my favorite groups! My favorite songs are Love Dive and Supernova.

🏀 Sports: I love following the NBA and NFL. My favorite teams are the Golden State Warriors and the San Francisco 49ers. My favorite players are Kevin Durant and Steph Curry.

🏃‍♂️ Fitness: I enjoy staying active through running and weightlifting. I typically run 3-5 miles weekly and believe in maintaining physical health to boost mental well-being.

🍲 Food: I’m a big fan of hotpot and boba. Some of my favorite spots are Boiling Point for hotpot and Sunright for boba. Exploring new places to eat is one of my favorite pastimes.

🤝 Mentorship: Providing mentorship is important to me. I have greatly benefited from the mentorship I received during my research journey, and I am committed to providing the same support and guidance to others.