I'm a Computer Engineering student with a strong foundation in mathematics — I like understanding how things work under the hood before reaching for abstractions. Currently building projects at the intersection of ML, calculus, and linear algebra, and actively looking for internship opportunities where I can apply both my analytical and engineering skills.
- Programming Languages: Python, C, C++, SQL, HTML5
- Libraries/Frameworks: NumPy, Matplotlib, OpenCV (Python), Streamlit
- Tools: Git, MySQL, VS Code, PyCharm
- Mathematics: Calculus, Linear Algebra
-
- Demonstrates SVD applied to image compression and Principal Component Analysis (PCA), with both from-scratch and optimized NumPy-based implementations.
- Includes utilities for reconstruction quality evaluation, compression analysis, and a custom
.svdbinary format for compressed images. - Features an interactive SVD Lab web app with image compression playgrounds, PCA visualizations, and custom image/
.svdviewing workflows. - Explore the project here: SVD Lab
-
- Demonstrates face recognition using classical linear techniques, centered on a PCA-based eigenfaces workflow on the Olivetti Faces dataset.
- Includes notebook-based analysis, model training/testing scripts, and evaluation artifacts such as confusion matrix results.
- Features an interactive Face Recognition Lab web app for testing nearest-match behavior and exploring the PCA recognition pipeline.
- Explore the project here: Face Recognition Lab
-
Truth Bureau
- Impetus project made with my team.
- Utilized public datasets like:
- FakeNewsNet
- LIAR
- PHEME
- WelFake
- ISOT
- Gen AI Misinformation
- Currently Learning:
- Machine Learning (from scratch implementation)
- FastAPI (for ML deployment)
- Linux (system-level understanding)
- Next Up:
- DevOps
I'm always open to new collaborations, learning opportunities, and interesting projects.
Feel free to connect or reach out if you want to work together, discuss mathematics and technology, or just say hi!