Shreya Yadav

I am an applied research engineer focused on computer vision and machine learning, with hands-on experience building reproducible PyTorch prototypes and experimental pipelines.

My work has emphasized experimental rigor: data preprocessing, model training, evaluation, ablation studies, and error analysis on real-world and benchmark image datasets.

I have implemented end-to-end systems for tasks such as image forgery detection, CIFAR-10 classification, and incremental learning for forgery-type generalization, using tools like OpenCV, Grad-CAM, and DCT-based feature analysis.

I thrive in research-style workflows that combine algorithmic optimization, robustness analysis, and collaborative iteration to move ML ideas toward practical, trustworthy solutions.