📄 CV & Transcript
Here’s my academic and professional journey during my time at the University of Virginia, highlighting my work in computer science, applied mathematics, and beyond. Feel free to download my CV and transcript below. 🎓💼
⬇️ Download my CV (August 2025)
⬇️ Download my Unofficial Transcript (Fall 2025)
🎓 Education
University of Virginia, 2026
B.S. in Computer Science and Minor in Applied Mathematics - GPA: 3.988
- Coursework: Computer Systems and Organization I & II, CPU-GPU Memory and Near Data Processing, Machine Learning, Data Structure and Algorithms I & II, Discrete Math and Theory I & II, Software Engineering I & II.
- Teaching Assistant: Computer Systems and Organization II, Probability, Linear Algebra, MATLAB & R Programming, Ordinary Differential Equations, Multivariable Calculus, and Intro to Programming/Physics.
- Awards: Dean’s Undergraduate Engineering Research Fellowship - Summer 2024 for GPU Research Project.
- Organizations: Research Assistant at LAVA Lab under Prof. Kevin Skadron and Insight Lab under Prof. Jog.
💡 Skills
- Programming: Python, CUDA, C/C++, Java, SQL (MySQL), MATLAB, R, HTML/CSS/JavaScript.
- Frameworks and Tools: PyTorch, MlPerf, RAPIDS AI (cuMl, cuDF, TensorRT), cuDNN, cuBLAS, Numba, NVIDIA Profiling Tools, HPC Systems, Linux, Git, Flask, Django, React, NumPy, Pandas, Matplotlib, Seaborn.
- Certifications and Training: NVIDIA DLI Accelerated Computing Training Courses and CS50P, CS50W, CS50R, CS50SQL (HarvardX).