Full-Stack Software Engineer, ML Enthusiast, and Electronics & Computer Engineering student
Implementing a fully connected neural network from scratch: matrix math, backpropagation, gradient descent, and MNIST digit recognition without deep learning frameworks.
Simple repository to get started with fine-tuning and ML models. You can download pre-trained models, fine-tune and test them very easily
Python computer vision tool that detects and matches logos inside images using SIFT feature extraction and FLANN matching, returning a similarity score and optional visual match output.
A Redis-like in-memory database in C that supports typed values, real-time key subscriptions, and programmable command hooks for logging, validation, transformation, and event-driven behavior.