Aditya Gupta

I’m a computer engineering student with foundational knowledge in Artificial Intelligence, Machine Learning, and Python, and I’m passionate about learning new technologies through practical work. I’m eager to gain hands-on experience and grow in AI and software development.

In my projects, I focus on building end-to-end systems and strong modeling pipelines. I architected an ECG classification module using a hybrid deep learning model (EfficientNetV2-S + MaxViT with an MLP fusion head), reaching 97.42% test accuracy and 97.52% macro F1-score on 6,596 ECG images, and contributing to a full-stack cardiovascular screening platform aimed at resource-constrained clinical environments in India.

I also build with modern NLP and computer vision approaches, including a real-time Reddit sentiment analysis pipeline (TF-IDF + ML sentiment prediction with visualization) and a contactless virtual mouse using MediaPipe hand-tracking and OpenCV for gesture-based cursor movement and click detection. I bring a problem-solving mindset and I enjoy turning technical ideas into usable prototypes.